cran: nnet | Projects | Ecosyste.ms: Papers

10.3390/ijms21062114

Computational Models Using Multiple Machine Learning Algorithms for Predicting Drug Hepatotoxicity with the DILIrank Dataset
Cited by: 22
Author(s): Robert Ancuceanu, Marilena Viorica Hovaneț, Adriana Iuliana Anghel, Florentina Furtunescu, Monica Neagu, Carolina Constantin, Mihaela Dinu
Software Mentions: 24
Published: about 4 years ago

10.3390/plants10020247

Machine Learning Applications and Optimization of Clustering Methods Improve the Selection of Descriptors in Blackberry Germplasm Banks
Cited by: 5
Author(s): Juan Camilo Henao-Rojas, María Gladis Rosero-Alpala, Carolina Ortiz-Muñoz, Carlos Enrique Velásquez-Arroyo, William A. León-Rueda, Joaquín Guillermo Ramírez‐Gil
Software Mentions: 19
Published: over 3 years ago

10.1371/journal.pone.0169748

SoilGrids250m: Global gridded soil information based on machine learning
Cited by: 2,126
Author(s): Tomislav Hengl, Jorge Mendes de Jesus, G.B.M. Heuvelink, M. Ruiperez González, Milorad Kilibarda, Aleksandar Blagotić, Wei Shangguan, Marvin N. Wright, Xiaoyuan Geng, Bernhard Bauer-Marschallinger, Mário Guevara, Rodrigo Vargas, R.A. MacMillan, N.H. Batjes, J.G.B. Leenaars, Eloi Ribeiro, Ichsani Wheeler, S. Mantel
Software Mentions: 19
Published: over 7 years ago

10.7717/peerj.5457

Global mapping of potential natural vegetation: an assessment of machine learning algorithms for estimating land potential
Cited by: 84
Author(s): Tomislav Hengl, Markus Walsh, Jonathan Sanderman, Ichsani Wheeler, Sandy P. Harrison, Iain Colin Prentice
Software Mentions: 17
Published: over 5 years ago

10.1186/1472-6947-13-126

Evaluation of prediction models for the staging of prostate cancer
Cited by: 19
Author(s): Susie Boyce, Yue Fan, R. William G. Watson, Brendan Murphy
Software Mentions: 16
Published: over 10 years ago

10.1038/s42003-021-01757-3

Jaw shape and mechanical advantage are indicative of diet in Mesozoic mammals
Cited by: 20
Author(s): Nuria Melisa Morales-García, Pamela G. Gill, Christine M. Janis, Emily J. Rayfield
Software Mentions: 16
Published: about 3 years ago

10.1186/1471-2105-9-439

CMA – a comprehensive Bioconductor package for supervised classification with high dimensional data
Cited by: 90
Author(s): Martin Slawski, Martin Däumer, Anne‐Laure Boulesteix
Software Mentions: 16
Published: over 15 years ago

10.1371/journal.pone.0230416

The citation advantage of linking publications to research data
Cited by: 131
Author(s): Giovanni Colavizza, Iain Hrynaszkiewicz, Isla Staden, Kirstie Whitaker, Barbara McGillivray
Software Mentions: 16
Published: about 4 years ago

10.1371/journal.pntd.0007969

Severity Index for Suspected Arbovirus (SISA): Machine learning for accurate prediction of hospitalization in subjects suspected of arboviral infection
Cited by: 10
Author(s): Rachel Sippy, Daniel F. Farrell, Daniel A. Lichtenstein, Ryan Nightingale, Megan Harris, Joseph Toth, Paris Hantztidiamantis, Nicholas Usher, Cinthya Cueva Aponte, Julio Barzallo Aguilar, Anthony Puthumana, Christina D. Lupone, Timothy P. Endy, Sadie J. Ryan, Anna M. Stewart-Ibarra
Software Mentions: 16
Published: over 4 years ago

10.3389/frai.2021.628441

Interpretability Versus Accuracy: A Comparison of Machine Learning Models Built Using Different Algorithms, Performance Measures, and Features to Predict E. coli Levels in Agricultural Water
Cited by: 12
Author(s): Daniel Weller, Tanzy Love, Martin Wiedmann
Software Mentions: 16
Published: about 3 years ago

10.1371/journal.pone.0018850

Multiplexed Immunoassay Panel Identifies Novel CSF Biomarkers for Alzheimer's Disease Diagnosis and Prognosis
Cited by: 199
Author(s): Rebecca Craig‐Schapiro, Max Kühn, Chengjie Xiong, Eve H. Pickering, Jingxia Liu, Thomas P. Misko, Richard J. Perrin, Kelly R. Bales, Holly Soares, Anne M. Fagan, David M. Holtzman
Software Mentions: 15
Published: about 13 years ago

10.1186/1471-2105-10-363

A novel R-package graphic user interface for the analysis of metabonomic profiles
Cited by: 51
Author(s): José Luis Izquierdo-García, Ignacio Rodríguez, Angelos Kyriazis, Palmira Villa, Pilar Barreiro Elorza, Manuel Desco, Jesús Ruíz-Cabello
Software Mentions: 13
Published: over 14 years ago

10.3390/jcm7100322

Derivation and Validation of Machine Learning Approaches to Predict Acute Kidney Injury after Cardiac Surgery
Cited by: 100
Author(s): Hyung Chul Lee, Hyun Kyu Yoon, Karam Nam, Youn Joung Cho, Tae Kyoung Kim, Won Ho Kim, Jae Hyon Bahk
Software Mentions: 12
Published: over 5 years ago

10.1038/s41598-021-85155-z

Validating machine learning approaches for prediction of donor related complication in microsurgical breast reconstruction: a retrospective cohort study
Cited by: 6
Author(s): Yujin Myung, Sungmi Jeon, Chan Yeong Heo, Eun‐Kyu Kim, Eunyoung Kang, Hee-Chul Shin, Eun Joo Yang, Jae Hoon Jeong
Software Mentions: 12
Published: about 3 years ago

10.1186/s12967-017-1285-6

In silico prediction of novel therapeutic targets using gene–disease association data
Cited by: 79
Author(s): Enrico Ferrero, Ian Dunham, Philippe Sanséau
Software Mentions: 12
Published: over 6 years ago

10.1093/rheumatology/keaa615

Changes in the illness perceptions of patients with rheumatoid arthritis over the first year of methotrexate therapy
Cited by: 7
Author(s): James M Gwinnutt, Sam Norton, Kimme L Hyrich, Mark Lunt, Anne Barton, Lis Cordingley, Suzanne Verstappen, Rams co-investigators
Software Mentions: 11
Published: over 3 years ago

10.1016/j.scitotenv.2018.08.122

Prediction of bioconcentration factors in fish and invertebrates using machine learning
Cited by: 56
Author(s): Thomas H. Miller, Matteo D. Gallidabino, James I. MacRae, Stewart F. Owen, Nicolas R. Bury, Leon Barron
Software Mentions: 11
Published: over 5 years ago

10.1371/journal.pone.0095753

A Comparison of Supervised Machine Learning Algorithms and Feature Vectors for MS Lesion Segmentation Using Multimodal Structural MRI
Cited by: 41
Author(s): Elizabeth Sweeney, Joshua T. Vogelstein, Jennifer L. Cuzzocreo, Peter A. Calabresi, Daniel S. Reich, Ciprian M. Crainiceanu, Russell T. Shinohara
Software Mentions: 10
Published: about 10 years ago

10.1038/s41598-020-60747-3

High-Throughput Screening to Predict Chemical-Assay Interference
Cited by: 25
Author(s): Alexandre Borrel, Ruili Huang, Srilatha Sakamuru, Menghang Xia, Anton Simeonov, Kamel Mansouri, Keith A. Houck, Richard S. Judson, Nicole Kleinstreuer
Software Mentions: 10
Published: about 4 years ago

10.1371/journal.pbio.3000528

Single-cell transcriptomics of the naked mole-rat reveals unexpected features of mammalian immunity
Cited by: 74
Author(s): Hugo G. Hilton, Nimrod D. Rubinstein, Peter Janki, Andrea Ireland, Nicholas Bernstein, Nicole L. Fong, Kevin M. Wright, Megan Smith, David Finkle, Baby Martin-McNulty, Margaret Roy, Denise M. Imai, Vladimir Jojic, Rochelle Buffenstein
Software Mentions: 10
Published: over 4 years ago

10.1371/journal.pone.0194085

Predicting urinary tract infections in the emergency department with machine learning
Cited by: 112
Author(s): Richard A. Taylor, Christopher L. Moore, Kei‐Hoi Cheung, Cynthia Brandt
Software Mentions: 10
Published: about 6 years ago

10.1128/mSystems.00065-20

Subspecies Niche Specialization in the Oral Microbiome Is Associated with Nasopharyngeal Carcinoma Risk
Cited by: 19
Author(s): Justine W. Debelius, Tingting Huang, Yonglin Cai, Alexander Ploner, Donal Barrett, Xiaoying Zhou, Xue Xiao, Yancheng Li, Jian Liao, Yuming Zheng, Guangwu Huang, Hans‐Olov Adami, Yi Xin Zeng, Zhe Zhang, Ye W
Software Mentions: 10
Published: over 3 years ago

10.1186/s40168-021-01104-y

Type 1 diabetes in pregnancy is associated with distinct changes in the composition and function of the gut microbiome
Cited by: 22
Author(s): Alexandra J. Roth‐Schulze, Megan A. S. Penno, Katrina Ngui, Helena Oakey, Esther Bandala‐Sanchez, Andrew C. Smith, Theo R. Allnutt, Rebecca L. Thomson, Peter Vuillermin, Maria E. Craig, William D. Rawlinson, Elizabeth A. Davis, Mark Harris, Georgia Soldatos, Peter Colman, John M. Wentworth, Aveni Haynes, Simon C. Barry, Richard Sinnott, Grant Morahan, Naiara G. Bediaga, Gordon K. Smyth, Anthony T. Papenfuss, Jennifer Couper, Leonard C. Harrison
Software Mentions: 10
Published: almost 3 years ago

10.3390/diagnostics11071137

A Novel Combination of Blood Biomarkers and Clinical Stroke Scales Facilitates Detection of Large Vessel Occlusion Ischemic Strokes
Cited by: 6
Author(s): Edoardo Gaude, Barbara Nogueira, Marcos Ladreda Mochales, Sheila V. Graham, Sarah Smith, Lisa Shaw, Sara Graziadio, Gonzalo Ladreda Mochales, Philip Sloan, Joshua D. Bernstock, Shashank Shekhar, Toby Gropen, Chris Price
Software Mentions: 10
Published: almost 3 years ago

10.1002/1878-0261.12850

High‐throughput proteomics of breast cancer interstitial fluid: identification of tumor subtype‐specific serologically relevant biomarkers
Cited by: 13
Author(s): Thilde Terkelsen, Maria Pernemalm, Pavel Gromov, Anna‐Lise Børresen‐Dale, Anders Krogh, Vilde Drageset Haakensen, Janne Lethiö, Elena Papaleo, Irina Gromova
Software Mentions: 10
Published: over 3 years ago

10.1038/s41598-021-81110-0

G-computation and machine learning for estimating the causal effects of binary exposure statuses on binary outcomes
Cited by: 9
Author(s): Françoise Le Borgne, Arthur Chatton, Maxime Léger, Rémi Lenain, Yohann Foucher
Software Mentions: 10
Published: over 3 years ago

10.3390/jcm8091298

Comparison of Machine Learning Techniques for Prediction of Hospitalization in Heart Failure Patients
Cited by: 32
Author(s): Giulia Lorenzoni, Stefano Santo Sabato, Corrado Lanera, Daniele Bottigliengo, Clara Minto, Honoria Ocagli, Paola De Paolis, Darío Gregori, Sabino Iliceto, Franco Pisanò
Software Mentions: 10
Published: over 4 years ago

10.1098/rspb.2020.2840

Predation favours <i>Bicyclus anynana</i> butterflies with fewer forewing eyespots
Cited by: 5
Author(s): Ian Z. W. Chan, Zhe Ching Ngan, Naing Lin, Yueying Lee, Vijayendran Gowri, Antónia Monteiro
Software Mentions: 10
Published: almost 3 years ago

10.1371/journal.pone.0254394

Claims-based algorithms for common chronic conditions were efficiently constructed using machine learning methods
Cited by: 0
Author(s): Kozo Hara, Yasuki Kobayashi, Jun Tomio, Yuki Ito, Thomas Svensson, Ryo Ikesu, Ung‐il Chung, Akiko Kishi Svensson
Software Mentions: 10
Published: over 2 years ago

10.1038/s41598-019-48986-5

Assessing Susceptibility of Debris Flow in Southwest China Using Gradient Boosting Machine
Cited by: 36
Author(s): Baofeng Di, Hanyue Zhang, Yongyao Liu, Jierui Li, Ningsheng Chen, Constantine A. Stamatopoulos, Yuzhou Luo, Yu Zhan
Software Mentions: 10
Published: over 4 years ago

10.1186/s13742-015-0065-6

An image database of Drosophila melanogaster wings for phenomic and biometric analysis
Cited by: 26
Author(s): Anne Sonnenschein, David VanderZee, William Pitchers, Sudarshan Chari, Ian Dworkin
Software Mentions: 9
Published: almost 9 years ago

10.1186/1471-2288-14-91

Comparing classification methods for diffuse reflectance spectra to improve tissue specific laser surgery
Cited by: 8
Author(s): Alexander Engelhardt, Rajesh Kanawade, Christian Knipfer, Matthias Schmid, Florian Stelzle, Werner Adler
Software Mentions: 9
Published: almost 10 years ago

10.1038/s41398-020-0738-5

A polygenic predictor of treatment-resistant depression using whole exome sequencing and genome-wide genotyping
Cited by: 32
Author(s): Chiara Fabbri, Siegfried Kasper, Alexander Kautzky, Joseph Zohar, Daniel Souery, Stuart Montgomery, Diego Albani, Gianluigi Forloni, Panagiotis Ferentinos, Dan Rujescu, Julien Mendlewicz, Rudolf Uher, Cathryn M. Lewis, Alessandro Serretti
Software Mentions: 9
Published: over 4 years ago

10.2196/24887

Clustering of Unhealthy Behaviors: Protocol for a Multiple Behavior Analysis of Data From the Canadian Longitudinal Study on Aging
Cited by: 2
Author(s): Zack van Allen, Simon L. Bacon, Paquito Bernard, Heather Brown, Sophie Desroches, Monika Kastner, Kim Lavoie, Marta M. Marques, Nicola McCleary, Sharon E. Straus, Taljaard Monica, Kednapa Thavorn, Jennifer R Tomasone, Justin Presseau
Software Mentions: 9
Published: almost 3 years ago

10.1038/s41598-019-50480-x

Early Prediction of Soybean Traits through Color and Texture Features of Canopy RGB Imagery
Cited by: 21
Author(s): Wenan Yuan, Nuwan K. Wijewardane, Shawn Jenkins, Geng Bai, Yufeng Ge, George L. Graef
Software Mentions: 9
Published: over 4 years ago

10.1371/journal.pone.0188564

Widespread local chronic stressors in Caribbean coastal habitats
Cited by: 10
Author(s): Iliana Chollett, Rachel Collin, Carolina Bastidas, Aldo Cróquer, Peter M. H. Gayle, Eric Jordán-Dahlgren, Karen Koltes, Hazel A. Oxenford, Alberto Rodríguez-Ramírez, Ernesto Weil, Jahson Berhane Alemu, David Bone, Kenneth C. Buchan, Marcia Creary Ford, Edgar Escalante‐Mancera, Jaime Garzón-Ferreira, Héctor M. Guzmán, Björn Kjerfve, Eduardo Klein, Croy McCoy, Arthur C. Potts, Francisco Ruiz-Rentería, Struan R. Smith, John Tschirky, Jorge Cortés
Software Mentions: 9
Published: over 6 years ago

10.1371/journal.pone.0071218

Novel Three-Step Pseudo-Absence Selection Technique for Improved Species Distribution Modelling
Cited by: 137
Author(s): Senait D. Senay, Susan P. Worner, Takayoshi Ikeda
Software Mentions: 9
Published: almost 11 years ago

10.1016/j.comppsych.2019.152143

Longitudinal population subgroups of CRP and risk of depression in the ALSPAC birth cohort
Cited by: 11
Author(s): Emanuele F. Osimo, Jan S̆tochl, Stanley Zammit, Glyn Lewis, Peter B. Jones, Golam M. Khandaker
Software Mentions: 9
Published: over 4 years ago

10.3389/fgene.2020.00192

Integrated Analysis Identifies a Nine-microRNA Signature Biomarker for Diagnosis and Prognosis in Colorectal Cancer
Cited by: 31
Author(s): Ziyang Di, Maojun Di, Weihua Fu, Qiang Tang, Yanwei Liu, Peijie Lei, Xinsheng Gu, Tong Liu, Min Sun
Software Mentions: 9
Published: about 4 years ago

10.1186/s40462-021-00245-x

An evaluation of machine learning classifiers for next-generation, continuous-ethogram smart trackers
Cited by: 15
Author(s): Hui Yu, Jian Deng, Ran Nathan, Max Kröschel, Sasha Pekarsky, Guozheng Li, Marcel Klaassen
Software Mentions: 8
Published: about 3 years ago

10.1186/s12911-021-01474-1

Predicting unplanned medical visits among patients with diabetes: translation from machine learning to clinical implementation
Cited by: 5
Author(s): Arielle Selya, Drake Anshutz, Emily R. Griese, Tess L. Weber, Benson Hsu, Cameron Ward
Software Mentions: 8
Published: about 3 years ago

10.1038/s41598-019-55325-1

Development of an in silico prediction system of human renal excretion and clearance from chemical structure information incorporating fraction unbound in plasma as a descriptor
Cited by: 25
Author(s): Reiko Watanabe, Rikiya Ohashi, Tsuyoshi Esaki, Hitoshi Kawashima, Yayoi Natsume-Kitatani, Chioko Nagao, Kenji Mizuguchi
Software Mentions: 8
Published: over 4 years ago

10.1371/journal.pone.0206662

Predicting hospital and emergency department utilization among community-dwelling older adults: Statistical and machine learning approaches
Cited by: 15
Author(s): Aaron Jones, Andrew P. Costa, Angelina Pesevski, Paul D. McNicholas
Software Mentions: 8
Published: over 5 years ago

10.1136/bmjopen-2020-040132

Prediction of perinatal death using machine learning models: a birth registry-based cohort study in northern Tanzania
Cited by: 27
Author(s): Innocent B. Mboya, Michael Johnson Mahande, Mohanad Mohammed, Joseph Obure, Henry Mwambi
Software Mentions: 8
Published: over 3 years ago

10.1038/srep30086

Random Bits Forest: a Strong Classifier/Regressor for Big Data
Cited by: 22
Author(s): Yi Wang, Li Yi, Weilin Pu, Kathryn Wen, Yin Yao Shugart, Momiao Xiong, Li Jin
Software Mentions: 8
Published: almost 8 years ago

10.1186/s12884-018-1971-2

Comparison of logistic regression with machine learning methods for the prediction of fetal growth abnormalities: a retrospective cohort study
Cited by: 70
Author(s): Stefan Kuhle, Bryan Maguire, Hongqun Zhang, David C. Hamilton, Alexander C. Allen, K.S. Joseph, Victoria M. Allen
Software Mentions: 8
Published: almost 6 years ago

10.1016/j.heliyon.2020.e03214

Age, gender, personality, ideological attitudes and individual differences in a person's news spectrum: how many and who might be prone to “filter bubbles” and “echo chambers” online?
Cited by: 34
Author(s): Cornelia Sindermann, Jon D. Elhai, Morten Moshagen, Christian Montag
Software Mentions: 7
Published: over 4 years ago

10.1186/s10020-019-0093-2

IgG Galactosylation status combined with MYOM2-rs2294066 precisely predicts anti-TNF response in ankylosing spondylitis
Cited by: 12
Author(s): Jing Liu, Qi Zhu, Jing Han, Hui Zhang, Yuan Li, Yanyun Ma, Dongyi He, Jianxin Gu, Xiaodong Zhou, John D. Reveille, Li Jin, Hejian Zou, Shifang Ren, Jiucun Wang
Software Mentions: 7
Published: almost 5 years ago

10.1186/s12874-019-0681-4

Machine learning in medicine: a practical introduction
Cited by: 526
Author(s): Jenni A. M. Sidey-Gibbons, Chris Sidey‐Gibbons
Software Mentions: 7
Published: about 5 years ago

10.3390/microorganisms5040068

Linking Compositional and Functional Predictions to Decipher the Biogeochemical Significance in DFAA Turnover of Abundant Bacterioplankton Lineages in the North Sea
Cited by: 16
Author(s): Bernd Wemheuer, Franziska Wemheuer, Dimitri V. Meier, Sara Billerbeck, Helge-Ansgar Giebel, Meinhard Simon, Christoph Scherber, Rolf Daniel
Software Mentions: 7
Published: over 6 years ago

10.1038/s41598-018-37145-x

Isolation and no-entry marine reserves mitigate anthropogenic impacts on grey reef shark behavior
Cited by: 22
Author(s): Jean‐Baptiste Juhel, Laurent Vigliola, Laurent Wantiez, Tom B. Letessier, Jessica J. Meeuwig, David Mouillot
Software Mentions: 7
Published: about 5 years ago

10.1038/s41598-020-75473-z

Personalized prediction of delayed graft function for recipients of deceased donor kidney transplants with machine learning
Cited by: 16
Author(s): Satoru Kawakita, Jennifer L. Beaumont, Vadim Jucaud, Matthew J Everly
Software Mentions: 7
Published: over 3 years ago

10.3389/fmed.2021.635771

Application of Machine Learning Algorithms to Predict Central Lymph Node Metastasis in T1-T2, Non-invasive, and Clinically Node Negative Papillary Thyroid Carcinoma
Cited by: 35
Author(s): Jiang Zhu, Jinxin Zheng, Longfei Li, Rui Huang, Haoyu Ren, Denghui Wang, Zhijun Dai, Xinliang Su
Software Mentions: 7
Published: about 3 years ago

10.1002/mp.12967

Machine learning algorithms for outcome prediction in (chemo)radiotherapy: An empirical comparison of classifiers
Cited by: 188
Author(s): Timo M. Deist, Frank J. W. M. Dankers, Gilmer Valdés, Robin Wijsman, I‐Chow Hsu, Cary Oberije, Tim Lustberg, Johan van Soest, Frank Hoebers, Arthur Jochems, Issam El Naqa, Leonard Wee, Olivier Morin, David R. Raleigh, Wouter Bots, Johannes H.A.M. Kaanders, J. Belderbos, Margriet Kwint, Timothy D. Solberg, R. Monshouwer, Johan Bussink, André Dekker, Philippe Lambin
Software Mentions: 7
Published: almost 6 years ago

10.1186/s12967-016-0906-9

Centrosome associated genes pattern for risk sub-stratification in multiple myeloma
Cited by: 13
Author(s): Fedor Kryukov, Pavel Němec, Lenka Radová, Elena V. Kryukova, Samuel Adeyinka Okubote, Jiří Minařík, Zdena Štefániková, Luděk Pour, Roman Hájek
Software Mentions: 7
Published: almost 8 years ago

10.1371/journal.pone.0130629

A Geographic Mosaic of Climate Change Impacts on Terrestrial Vegetation: Which Areas Are Most at Risk?
Cited by: 37
Author(s): David D. Ackerly, William K. Cornwell, S. B. Weiss, Lorraine E. Flint, Alan L. Flint
Software Mentions: 7
Published: almost 9 years ago

10.1038/s41598-019-45912-7

Amphibian and Reptilian Chorotypes in the Arid Land of Central Asia and Their Determinants
Cited by: 1
Author(s): Zhengxin Lu, Liang Tao, Lei Shi
Software Mentions: 7
Published: almost 5 years ago

10.7717/peerj-cs.642

Cultural differences in music features across Taiwanese, Japanese and American markets
Cited by: 2
Author(s): K. M. Liew, Yukiko Uchida, Igor de Almeida
Software Mentions: 7
Published: almost 3 years ago

10.34133/2020/4216373

Semantic Segmentation of Sorghum Using Hyperspectral Data Identifies Genetic Associations
Cited by: 24
Author(s): Chenyong Miao, Alejandro Pages, Zheng Xu, Eric Rodene, Jinliang Yang, James C. Schnable
Software Mentions: 7
Published: over 4 years ago

10.1371/journal.pone.0245437

Identifying intentional injuries among children and adolescents based on Machine Learning
Cited by: 1
Author(s): Xiling Yin, Dan Ma, Kejing Zhu, Deyun Li
Software Mentions: 7
Published: over 3 years ago

10.1128/mSystems.00063-20

Genomic Analysis of Bovine Staphylococcus aureus Isolates from Milk To Elucidate Diversity and Determine the Distributions of Antimicrobial and Virulence Genes and Their Association with Mastitis
Cited by: 31
Author(s): Sohail Naushad, Diego Nobrega, Syed Ali Raza Naqvi, Herman W. Barkema, Jeroen De Buck
Software Mentions: 7
Published: over 3 years ago

10.7717/peerj.1366

Taking account of uncertainties in digital land suitability assessment
Cited by: 14
Author(s): Brendan Malone, Darren Kidd, Budiman Minasny, Alex B. McBratney
Software Mentions: 7
Published: over 8 years ago

10.1186/s12859-017-1914-3

bcROCsurface: an R package for correcting verification bias in estimation of the ROC surface and its volume for continuous diagnostic tests
Cited by: 6
Author(s): Khanh To Duc
Software Mentions: 7
Published: over 6 years ago

10.1371/journal.pone.0239247

Trust and transparency in times of crisis: Results from an online survey during the first wave (April 2020) of the COVID-19 epidemic in the UK
Cited by: 78
Author(s): Luisa Enria, Naomi R. Waterlow, Nina Trivedy Rogers, Hannah Brindle, Sham Lal, Rosalind M Eggo, Shelley Lees, Chrissy h. Roberts
Software Mentions: 7
Published: over 3 years ago

10.1371/journal.pone.0234190

Positive attitudes towards feline obesity are strongly associated with ownership of obese cats
Cited by: 2
Author(s): Kendy Tzu-Yun Teng, Paul McGreevy, Jenny‐Ann L.M.L. Toribio, Navneet K. Dhand
Software Mentions: 7
Published: almost 4 years ago

10.3389/fphar.2021.605764

Robust Performance of Potentially Functional SNPs in Machine Learning Models for the Prediction of Atorvastatin-Induced Myalgia
Cited by: 7
Author(s): Brandon Nick Sern Ooi, Raechell, Ariel Fangting Ying, Yong Zher Koh, Jian Yu, Sherman W. L. Yee, Justin H. S. Lee, Samuel S. Chong, Jack Wei Chieh Tan, Jing Liu, Caroline Lee, Chester L. Drum
Software Mentions: 7
Published: about 3 years ago

10.1093/gbe/evaa084

Paternally Inherited P-Element Copy Number Affects the Magnitude of Hybrid Dysgenesis in Drosophila simulans and D. melanogaster
Cited by: 14
Author(s): Antonio Serrato-Capuchina, Jeremy Wang, Eric J. Earley, David Peede, Kristin Isbell, Daniel R. Matute
Software Mentions: 6
Published: about 4 years ago

10.1111/cea.13869

Association between nasal and nasopharyngeal bacterial colonization in early life and eczema phenotypes
Cited by: 2
Author(s): Chen Hu, Liesbeth Duijts, Evelien R. van Meel, Kirsten I M Looman, Jessica C. Kiefte–de Jong, Luba M. Pardo, Dirk Jan Hijnen, Suzanne G M A Pasmans, Johan C. de Jongste, Henriëtte A. Moll, Tamar Nijsten
Software Mentions: 6
Published: about 3 years ago

10.3390/molecules25112615

The Study on the hERG Blocker Prediction Using Chemical Fingerprint Analysis
Cited by: 21
Author(s): Kwang-Eun Choi, Anand Balupuri, Nam Sook Kang
Software Mentions: 6
Published: almost 4 years ago

10.1038/s41598-019-54519-x

TSLRF: Two-Stage Algorithm Based on Least Angle Regression and Random Forest in genome-wide association studies
Cited by: 4
Author(s): Jiali Sun, Qingtai Wu, Dafeng Shen, Yang Wen, Fengrong Liu, Yu Tang Gao, Jie Ding, Jin Zhang
Software Mentions: 6
Published: over 4 years ago

10.3389/fpls.2018.00599

Landscape- and Local-Scale Actions Are Essential to Conserve Regional Macrophyte Biodiversity
Cited by: 4
Author(s): Munemitsu Akasaka, Shinsuke Higuchi, Noriko Takamura
Software Mentions: 6
Published: about 6 years ago

10.1001/jamanetworkopen.2020.20664

Estimating Nonfatal Gunshot Injury Locations With Natural Language Processing and Machine Learning Models
Cited by: 10
Author(s): Susan T. Parker
Software Mentions: 6
Published: over 3 years ago

10.1371/journal.pone.0196130

Aridity drives plant biogeographical sub regions in the Caatinga, the largest tropical dry forest and woodland block in South America
Cited by: 51
Author(s): Augusto C. Silva, Alexandre F. Souza
Software Mentions: 6
Published: about 6 years ago

10.1371/journal.pone.0207192

Mortality prediction in patients with isolated moderate and severe traumatic brain injury using machine learning models
Cited by: 66
Author(s): Cheng-Shyuan Rau, Pao‐Jen Kuo, Peng‐Chen Chien, Chun-Ying Huang, Hsiao-Yun Hsieh, Ching‐Hua Hsieh
Software Mentions: 6
Published: over 5 years ago

10.1007/s00330-018-5680-z

Multiparametric ultrasomics of significant liver fibrosis: A machine learning-based analysis
Cited by: 82
Author(s): Wei Li, Yang Huang, Bowen Zhuang, Guangjian Liu, Hang-Tong Hu, Xin Li, Jin-Yu Liang, Zhu Wang, Xiaowen Huang, Chu-Qing Zhang, Si-Min Ruan, Xiaoyan Xie, Ming Kuang, Ming‐De Lu, Li-Da Chen, Wei Wang
Software Mentions: 6
Published: over 5 years ago

10.1038/s41598-017-13056-1

A machine-learning heuristic to improve gene score prediction of polygenic traits
Cited by: 63
Author(s): Guillaume Paré, Mao S, Wei Q. Deng
Software Mentions: 6
Published: over 6 years ago

10.1371/journal.pone.0105992

SoilGrids1km — Global Soil Information Based on Automated Mapping
Cited by: 785
Author(s): Tomislav Hengl, Jorge Mendes de Jesus, R.A. MacMillan, N.H. Batjes, G.B.M. Heuvelink, Eloi Ribeiro, Alessandro Samuel‐Rosa, B. Kempen, J.G.B. Leenaars, Markus Walsh, M. Ruiperez González
Software Mentions: 6
Published: over 9 years ago

10.1038/s41598-017-08235-z

Discrimination of plant root zone water status in greenhouse production based on phenotyping and machine learning techniques
Cited by: 21
Author(s): Doudou Guo, J.A. de Juan, Liu Chang, Zhang Jing-jin, Dan Huang
Software Mentions: 6
Published: almost 7 years ago

10.3390/diagnostics10060415

Comparison between Statistical Models and Machine Learning Methods on Classification for Highly Imbalanced Multiclass Kidney Data
Cited by: 17
Author(s): Bomi Jeong, Hyun-Jeong Cho, Jieun Kim, Soon Kil Kwon, Suk Bong Hong, ChangSik Lee, TaeYeon Kim, Man Sik Park, Seoksu Hong, Tae‐Young Heo
Software Mentions: 6
Published: almost 4 years ago

10.1371/journal.pone.0099926

Insights from Computational Modeling in Inflammation and Acute Rejection in Limb Transplantation
Cited by: 23
Author(s): Dolores Wolfram, Ravi Starzl, Hubert Hackl, Derek Barclay, Theresa Hautz, Bettina Zelger, Gerald Brandacher, W. P. Andrew Lee, Nadine Eberhart, Yoram Vodovotz, Johann Pratschke, Gerhard Pierer, Stefan Schneeberger
Software Mentions: 6
Published: almost 10 years ago

10.1172/jci.insight.130090

Cytomegalovirus infection is a risk factor for tuberculosis disease in infants
Cited by: 38
Author(s): Julius Müller, Rachel Tanner, Magali Matsumiya, Margaret Ann Snowden, Bernard Landry, Iman Satti, Stephanie A. Harris, Matthew K. O’Shea, Lisa Stockdale, Leanne Marsay, Agnieszka Chomka, Rachel Harrington-Kandt, Zita‐Rose Manjaly Thomas, Vivek Naranbhai, Elena Stylianou, Stanley Kimbung Mbandi, Mark Hatherill, Gregory Hussey, Hassan Mahomed, Michèle Tameris, J. Bruce McClain, Thomas G. Evans, Willem A. Hanekom, Thomas J. Scriba, Helen McShane, Helen A. Fletcher
Software Mentions: 6
Published: over 4 years ago

10.1371/journal.pone.0179180

Rigid geometry solves “curse of dimensionality” effects in clustering methods: An application to omics data
Cited by: 12
Author(s): Shun Adachi
Software Mentions: 6
Published: almost 7 years ago

10.1172/jci.insight.140380

Patient ancestry significantly contributes to molecular heterogeneity of systemic lupus erythematosus
Cited by: 41
Author(s): Michelle D. Catalina, Prathyusha Bachali, Anthony E. T. Yeo, Nicholas S. Geraci, Michelle Petri, Amrie C. Grammer, Peter E. Lipsky
Software Mentions: 6
Published: almost 4 years ago

10.1038/srep33696

Driving forces of soil bacterial community structure, diversity, and function in temperate grasslands and forests
Cited by: 247
Author(s): Kristin Kaiser, Bernd Wemheuer, Vera Korolkow, Franziska Wemheuer, Heiko Nacke, Ingo Schöning, Marion Schrumpf, Rolf Daniel
Software Mentions: 6
Published: over 7 years ago

10.1186/s12938-017-0416-x

Empirical study of seven data mining algorithms on different characteristics of datasets for biomedical classification applications
Cited by: 37
Author(s): Yiyan Zhang, Yi Xin, Li Qin, Jianshe Ma, Shuai Li, Xiaodan Lv, Weiqi Lv
Software Mentions: 6
Published: over 6 years ago

10.1155/2021/9591670

Machine Learning-Based Ensemble Model for Zika Virus T-Cell Epitope Prediction
Cited by: 31
Author(s): Syed Nisar Hussain Bukhari, Amit Jain, Ehtishamul Haq, Moaiad Ahmad Khder, Rahul Neware, Jyoti Bhola, Moslem Lari Najafi
Software Mentions: 6
Published: over 2 years ago

10.3390/molecules26061789

Needle Trap Device-GC-MS for Characterization of Lung Diseases Based on Breath VOC Profiles
Cited by: 14
Author(s): Fernanda Monedeiro, Maciej Monedeiro-Milanowski, Ileana-Andreea Raţiu, Beata Brożek, Tomasz Ligor, Bogusław Buszewski
Software Mentions: 5
Published: about 3 years ago

10.3390/molecules25214894

Study on Molecular Profiles of Staphylococcus aureus Strains: Spectrometric Approach
Cited by: 8
Author(s): Michał Złoch, Paweł Pomastowski, Ewelina Maślak, Fernanda Monedeiro
Software Mentions: 5
Published: over 3 years ago

10.3390/ani11051316

Multiple Country Approach to Improve the Test-Day Prediction of Dairy Cows’ Dry Matter Intake
Cited by: 6
Author(s): Anthony Tedde, Clément Grelet, Phuong Ho, J.E. Pryce, Dagnachew Hailemariam, Zhiquan Wang, Graham Plastow, Nicolas Gengler, Éric Froidmont, Frédéric Dehareng, Carlo Bertozzi, M.A. Crowe, Hélène Soyeurt
Software Mentions: 5
Published: about 3 years ago

10.1093/molbev/msab140

De Novo Mutation Rate Variation and Its Determinants in <i>Chlamydomonas</i>
Cited by: 16
Author(s): Eugenio López‐Cortegano, Rory J. Craig, Jobran Chebib, Toby Samuels, Andrew D. Morgan, Susanne A. Kraemer, Katharina B. Böndel, Rob W. Ness, Nick Colegrave, Peter D. Keightley
Software Mentions: 5
Published: about 3 years ago

10.3390/microorganisms9051034

A Machine Learning Approach to Study Glycosidase Activities from Bifidobacterium
Cited by: 3
Author(s): Carlos Sabater, Lorena Ruíz, Abelardo Margollés
Software Mentions: 5
Published: about 3 years ago

10.1128/AEM.00899-20

Effect of Weather on the Die-Off of Escherichia coli and Attenuated Salmonella enterica Serovar Typhimurium on Preharvest Leafy Greens following Irrigation with Contaminated Water
Cited by: 15
Author(s): Alexandra Belias, Adrian Sbodio, Pilar Truchado, Daniel Weller, Janneth Pinzon, Mariya Skots, Ana Allende, Daniel Munther, Trevor Suslow, Martin Wiedmann, Renata Ivanek
Software Mentions: 5
Published: almost 4 years ago

10.1099/mgen.0.000366

AB_SA: Accessory genes-Based Source Attribution – tracing the source of Salmonella enterica Typhimurium environmental strains
Cited by: 5
Author(s): Laurent Guillier, Michèle Gourmelon, Solen Lozach, Sabrina Cadel-Six, Marie-Léone Vignaud, Nanna Sophia Mucha Munck, Tine Hald, Federica Di Palma
Software Mentions: 5
Published: almost 4 years ago

10.1186/s12864-020-07114-8

Predicting and clustering plant CLE genes with a new method developed specifically for short amino acid sequences
Cited by: 12
Author(s): Zhe Zhang, Lei Liu, Melis Kücükoglu, Dongdong Tian, Robert M. Larkin, Xueping Shi, Bo Zheng
Software Mentions: 5
Published: over 3 years ago

10.1038/s41598-018-25679-z

A machine learning model with human cognitive biases capable of learning from small and biased datasets
Cited by: 38
Author(s): Hidetaka Taniguchi, Hiroshi Satō, Tomohiro Shirakawa
Software Mentions: 5
Published: about 6 years ago

10.3389/fonc.2021.642841

Women’s Participation in Pap Smear Screening in a Developing Country: Evidence for Improving Health Systems
Cited by: 3
Author(s): Carolina Santamaría‐Ulloa, Ileana Quirós-Rojas, Melina Montero-López, Hazel Quesada-Leitón
Software Mentions: 5
Published: almost 3 years ago

10.1038/s41598-018-29635-9

Trees represent community composition of other plant life-forms, but not their diversity, abundance or responses to fragmentation
Cited by: 15
Author(s): Bonifacio O. Pasion, Mareike Roeder, Jiajia Liu, Mika Yasuda, Richard T. Corlett, J. W. Ferry Slik
Software Mentions: 5
Published: almost 6 years ago

10.1093/biostatistics/kxx012

Computational health economics for identification of unprofitable health care enrollees
Cited by: 16
Author(s): Sherri Rose, Savannah Bergquist, Timothy J. Layton
Software Mentions: 5
Published: about 7 years ago

10.1038/s41598-018-30236-9

Machine learning for fast identification of bacteraemia in SIRS patients treated on standard care wards: a cohort study
Cited by: 30
Author(s): Franz Ratzinger, Helmuth Haslacher, Thomas Perkmann, Matilde Pinzan, Philip Anner, Athanasios Makristathis, Heinz Burgmann, Georg Heinze, Georg Dorffner
Software Mentions: 5
Published: almost 6 years ago

10.1371/journal.pntd.0008712

Vector competence and feeding-excretion behavior of Triatoma rubrovaria (Blanchard, 1843) (Hemiptera: Reduviidae) infected with Trypanosoma cruzi TcVI
Cited by: 10
Author(s): Thaiane Verly, Stephanie Costa, Nathanielly Rocha Casado de Lima, J Mallet, Francisco Odêncio, Mirian Cláudia de Souza Pereira, Carlos José de Carvalho Moreira, Constança Britto, Márcio G. Pavan
Software Mentions: 5
Published: over 3 years ago

Projects: cran: nnet

Papers Mentioning nnet 296