pypi: ranger | Projects | Ecosyste.ms: Papers

10.1084/jem.20210915

Blood transcriptomics reveal the evolution and resolution of the immune response in tuberculosis
Cited by: 27
Author(s): Olivier Tabone, Raman Verma, Akul Singhania, Probir Chakravarty, William J. Branchett, Christine M. Graham, Jo Lee, Trần Thị Huyền Trang, Frédéric Reynier, Philippe Leissner, Karine Kaiser, Marc Rodrigue, Gerrit Woltmann, Pranabashis Haldar, Anne O’Garra
Software Mentions: 27
Published: over 3 years ago

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: almost 5 years ago

10.1186/s13071-021-04851-x

Data-driven and interpretable machine-learning modeling to explore the fine-scale environmental determinants of malaria vectors biting rates in rural Burkina Faso
Cited by: 9
Author(s): Paul Taconet, Angélique Porciani, Dieudonné Diloma Soma, Karine Mouline, Frédéric Simard, Alphonsine A. Koffi, Cédric Pennetier, Roch K. Dabiré, Morgan Mangeas, Nicolas Moiroux
Software Mentions: 21
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: almost 8 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: almost 4 years ago

10.1128/mBio.01054-19

Microbial Similarity between Students in a Common Dormitory Environment Reveals the Forensic Potential of Individual Microbial Signatures
Cited by: 28
Author(s): Miles Richardson, Neil Gottel, Jack A. Gilbert, Simon Lax
Software Mentions: 18
Published: over 5 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 6 years ago

10.3389/fgene.2021.689406

Reference Transcriptomes of Porcine Peripheral Immune Cells Created Through Bulk and Single-Cell RNA Sequencing
Cited by: 26
Author(s): Júber Herrera-Uribe, Jayne E Wiarda, Sathesh K Sivasankaran, Lance Daharsh, Haibo Li, Kristen A Byrne, Timothy P. L. Smith, Joan K. Lunney, Crystal L. Loving, Christopher K. Tuggle
Software Mentions: 14
Published: over 3 years ago

10.1534/g3.119.400728

Efficient Estimation of Marker Effects in Plant Breeding
Cited by: 10
Author(s): Alencar Xavier
Software Mentions: 13
Published: about 5 years ago

10.3390/microorganisms9010092

Grapevine Microbiota Reflect Diversity among Compartments and Complex Interactions within and among Root and Shoot Systems
Cited by: 23
Author(s): Joel F. Swift, Megan E. Hall, Zachary N. Harris, Misha T. Kwasniewski, Allison J. Miller
Software Mentions: 13
Published: almost 4 years ago

10.3390/ijms22031075

A Novel Epigenetic Machine Learning Model to Define Risk of Progression for Hepatocellular Carcinoma Patients
Cited by: 7
Author(s): Luca Bedon, Michele Dal Bo, Monica Mossenta, Davide Busato, Giuseppe Toffoli, Maurizio Polano
Software Mentions: 13
Published: almost 4 years ago

10.7717/peerj.5518

Random forest as a generic framework for predictive modeling of spatial and spatio-temporal variables
Cited by: 419
Author(s): Tomislav Hengl, Madlene Nussbaum, Marvin N. Wright, G.B.M. Heuvelink, Benedikt Gräler
Software Mentions: 13
Published: over 6 years ago

10.3389/fbioe.2021.614324

One-Time Optimization of Advanced T Cell Culture Media Using a Machine Learning Pipeline
Cited by: 9
Author(s): Paul Grzesik, Sebastian C. Warth
Software Mentions: 13
Published: over 3 years ago

10.3390/insects11080535

Impacts of Dietary Nutritional Composition on Larval Development and Adult Body Composition in the Yellow Fever Mosquito (Aedes aegypti)
Cited by: 15
Author(s): Tess van Schoor, Erin Taylor Kelly, Nicole Tam, Geoffrey M. Attardo
Software Mentions: 12
Published: over 4 years ago

10.3389/fvets.2017.00002

Using Machine Learning to Predict Swine Movements within a Regional Program to Improve Control of Infectious Diseases in the US
Cited by: 28
Author(s): Pablo Valdes–Donoso, Kimberly VanderWaal, Lovell S. Jarvis, Spencer Wayne, Andres Pérez
Software Mentions: 11
Published: almost 8 years ago

10.1155/2017/7907163

A Multicriteria Approach to Find Predictive and Sparse Models with Stable Feature Selection for High-Dimensional Data
Cited by: 11
Author(s): Andrea Bommert, Jörg Rahnenführer, Michel Lang
Software Mentions: 11
Published: almost 8 years ago

10.1371/journal.pone.0172705

Modelling the effects of environmental conditions on the acoustic occurrence and behaviour of Antarctic blue whales
Cited by: 21
Author(s): Fannie W. Shabangu, Dawit Yemane, Kathleen M. Stafford, Paul Ensor, Ken P. Findlay
Software Mentions: 10
Published: almost 8 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: about 3 years ago

10.1007/s10705-017-9870-x

Soil nutrient maps of Sub-Saharan Africa: assessment of soil nutrient content at 250 m spatial resolution using machine learning
Cited by: 170
Author(s): Tomislav Hengl, J.G.B. Leenaars, Keith D. Shepherd, Markus Walsh, G.B.M. Heuvelink, Tekalign Mamo, H. Tilahun, Ezra Berkhout, Matthew Cooper, Eric Fegraus, Ichsani Wheeler, Nketia A. Kwabena
Software Mentions: 10
Published: over 7 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 5 years ago

10.1001/jamanetworkopen.2021.10703

Comparative Effectiveness of Machine Learning Approaches for Predicting Gastrointestinal Bleeds in Patients Receiving Antithrombotic Treatment
Cited by: 13
Author(s): Jeph Herrin, Neena S. Abraham, Xiaoxi Yao, Peter A. Noseworthy, Jonathan Inselman, Nilay D. Shah, Che Ngufor
Software Mentions: 10
Published: over 3 years ago

10.7717/peerj.6339

Splitting on categorical predictors in random forests
Cited by: 26
Author(s): Marvin N. Wright, Inke R. König
Software Mentions: 9
Published: almost 6 years ago

10.1186/s12943-021-01405-8

Uncovering cancer vulnerabilities by machine learning prediction of synthetic lethality
Cited by: 6
Author(s): Salvatore Benfatto, Özdemirhan Serçin, Francesca R. Dejure, Amir Abdollahi, Frank T. Zenke, Balca R. Mardin
Software Mentions: 9
Published: over 3 years ago

10.1038/s41598-021-81051-8

Summer weather conditions influence winter survival of honey bees (Apis mellifera) in the northeastern United States
Cited by: 37
Author(s): Martina Calovi, Christina M. Grozinger, Douglas A. Miller, Sarah C. Goslee
Software Mentions: 9
Published: almost 4 years ago

10.1128/mSphere.00537-20

Gut Microbiota Predict Enterococcus Expansion but Not Vancomycin-Resistant Enterococcus Acquisition
Cited by: 10
Author(s): Rishi Chanderraj, Christopher Brown, Kevin J. Hinkle, Nicole R. Falkowski, Piyush Ranjan, Robert P. Dickson, Robert J. Woods
Software Mentions: 9
Published: almost 4 years ago

10.1093/jamia/ocab068

Stroke risk prediction using machine learning: a prospective cohort study of 0.5 million Chinese adults
Cited by: 26
Author(s): Matthew Chun, Robert Clarke, Benjamin J. Cairns, David A. Clifton, Derrick Bennett, Yiping Chen, Yu Guo, Pei Pei, Jun Lv, Canqing Yu, Ling Yang, Liming Li, Zhengming Chen, Tingting Zhu
Software Mentions: 9
Published: over 3 years ago

10.3389/fpls.2019.01355

In-Field Detection and Quantification of Septoria Tritici Blotch in Diverse Wheat Germplasm Using Spectral–Temporal Features
Cited by: 22
Author(s): Jonas Anderegg, Andreas Hund, Petteri Karisto, Alexey Mikaberidze
Software Mentions: 9
Published: about 5 years ago

10.1530/EC-21-0027

Tumor growth rate in pancreatic neuroendocrine tumor patients undergoing PRRT with 177Lu-DOTATATE
Cited by: 4
Author(s): Olof Pettersson, Katarzyna Fröss-Baron, Joakim Crona, Anders Sundín
Software Mentions: 9
Published: over 3 years ago

10.3389/fcell.2021.718624

Identification of a Novel Prognostic Gene Signature From the Immune Cell Infiltration Landscape of Osteosarcoma
Cited by: 15
Author(s): Lei Fan, Jingtao Ru, Tao Liu, Chi Ma
Software Mentions: 9
Published: over 3 years ago

10.12688/wellcomeopenres.14847.1

Using machine learning to guide targeted and locally-tailored empiric antibiotic prescribing in a children's hospital in Cambodia
Cited by: 45
Author(s): Mathupanee Oonsivilai, Yin Mo, Nantasit Luangasanatip, Yoel Lubell, Thyl Miliya, Pisey Tan, Lorn Loeuk, Paul Turner, Ben S. Cooper
Software Mentions: 8
Published: about 6 years ago

10.1007/s00122-017-3030-1

Predictive ability of genomic selection models in a multi-population perennial ryegrass training set using genotyping-by-sequencing
Cited by: 49
Author(s): Marty J. Faville, Siva Ganesh, Mingshu Cao, M. Z. Z. Jahufer, Timothy P. Bilton, H. S. Easton, Douglas L. Ryan, Jason A. K. Trethewey, M. P. Rolston, Andrew G. Griffiths, Roger Moraga, Casey Flay, Joana Schmidt, Rachel Tan, Brent Barrett
Software Mentions: 8
Published: about 7 years ago

10.1038/s41598-021-97221-7

An interaction regression model for crop yield prediction
Cited by: 25
Author(s): Javad Ansarifar, Lizhi Wang, Sotirios Archontoulis
Software Mentions: 8
Published: over 3 years ago

10.1038/srep32976

Disease-specific classification using deconvoluted whole blood gene expression
Cited by: 17
Author(s): Li Wang, William K. Oh, Jun Zhu
Software Mentions: 8
Published: over 8 years ago

10.1186/s13148-020-00899-1

Highly accurate skin-specific methylome analysis algorithm as a platform to screen and validate therapeutics for healthy aging
Cited by: 23
Author(s): Mariana Boroni, Alessandra Zonari, Carolina Reis de Oliveira, Kallie Al-Katib, Edgar Andrés Ochoa Cruz, Lear E. Brace, Juliana Lott Carvalho
Software Mentions: 8
Published: over 4 years ago

10.1186/s12864-018-4766-y

BoostMe accurately predicts DNA methylation values in whole-genome bisulfite sequencing of multiple human tissues
Cited by: 32
Author(s): Luli S. Zou, Michael R. Erdos, D. Leland Taylor, Peter S. Chines, Arushi Varshney, Stephen C. J. Parker, Francis S. Collins, John P. Didion
Software Mentions: 8
Published: over 6 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: about 6 years ago

10.1038/s41598-021-84759-9

Swine growth promotion with antibiotics or alternatives can increase antibiotic resistance gene mobility potential
Cited by: 28
Author(s): Johanna Muurinen, Jacob A Richert, Carmen L. Wickware, B. T. Richert, Timothy A. Johnson
Software Mentions: 7
Published: almost 4 years ago

10.1186/s12859-021-04011-z

Empowering individual trait prediction using interactions for precision medicine
Cited by: 4
Author(s): Damian Gola, Inke R. König
Software Mentions: 7
Published: almost 4 years ago

10.1186/s12874-021-01319-5

Development and validation of a risk index to predict kidney graft survival: the kidney transplant risk index
Cited by: 7
Author(s): Sameera Senanayake, Sanjeewa Kularatna, Helen Healy, Nicholas Graves, Keshwar Baboolal, Matthew P. Sypek, Adrian Barnett
Software Mentions: 7
Published: over 3 years ago

10.1186/s12889-021-11530-0

Onset of effects of non-pharmaceutical interventions on COVID-19 infection rates in 176 countries
Cited by: 18
Author(s): Ingo W. Nader, Elisabeth L. Zeilinger, Dana Jomar, Clemens Zauchner
Software Mentions: 7
Published: over 3 years ago

10.1093/bioinformatics/btab088

multiclassPairs: an R package to train multiclass pair-based classifier
Cited by: 6
Author(s): Nour Al Dain Marzouka, Pontus Eriksson
Software Mentions: 7
Published: almost 4 years ago

10.1371/journal.pone.0257510

Environmental DNA gives comparable results to morphology-based indices of macroinvertebrates in a large-scale ecological assessment
Cited by: 17
Author(s): Jeanine Brantschen, Rosetta C. Blackman, Jean‐Claude Walser, Florian Altermatt
Software Mentions: 7
Published: over 3 years ago

10.3390/electronics9010099

Weighted Random Forests to Improve Arrhythmia Classification
Cited by: 21
Author(s): Krzysztof Gajowniczek, Iga Grzegorczyk, Tomasz Ząbkowski, Chandrajit L. Bajaj
Software Mentions: 7
Published: almost 5 years ago

10.3389/fped.2021.711104

Early Prediction of Multiple Organ Dysfunction in the Pediatric Intensive Care Unit
Cited by: 10
Author(s): Sanjukta N. Bose, Joseph L. Greenstein, James C. Fackler, Sridevi V. Sarma, Raimond L. Winslow, Melania M. Bembea
Software Mentions: 7
Published: over 3 years ago

10.3390/s19071588

Reducing False Arrhythmia Alarms Using Different Methods of Probability and Class Assignment in Random Forest Learning Methods
Cited by: 9
Author(s): Krzysztof Gajowniczek, Iga Grzegorczyk, Tomasz Ząbkowski
Software Mentions: 7
Published: over 5 years ago

10.1186/s40560-021-00525-z

Machine learning-based prediction models for accidental hypothermia patients
Cited by: 4
Author(s): Yohei Okada, Tasuku Matsuyama, Sachiko Morita, Naoki Ehara, Nobuhiro Miyamae, Takaaki Jo, Yorihisa Sumida, Nobunaga Okada, Makoto Watanabe, Masahiro Nozawa, Ayumu Tsuruoka, Yoshihiro Fujimoto, Yasuko Okumura, Tetsuhisa Kitamura, Ryoji Iiduka, Shigeru Ohtsuru
Software Mentions: 7
Published: almost 4 years ago

10.7554/eLife.51339

Single-cell transcriptome reveals the novel role of T-bet in suppressing the immature NK gene signature
Cited by: 17
Author(s): Chao Yang, Jason R. Siebert, Robert T. Burns, Yongwei Zheng, Ao Mei, Benedetta Bonacci, Demin Wang, Raúl Urrutia, Matthew J. Riese, Sridhar Rao, Karen-Sue Carlson, Monica S. Thakar, Subramaniam Malarkannan
Software Mentions: 7
Published: over 4 years ago

10.7554/eLife.54695

Single cell transcriptomics identifies a unique adipose lineage cell population that regulates bone marrow environment
Cited by: 168
Author(s): Leilei Zhong, Lutian Yao, Robert J. Tower, Yulong Wei, Zhen Miao, Jihwan Park, Rojesh Shrestha, Luqiang Wang, Wei Yu, Nicholas Holdreith, Xiaobin Huang, Yejia Zhang, Wei Tong, Yanqing Gong, Jaimo Ahn, Katalin Suszták, Nathaniel A. Dyment, Mingyao Li, Fanxin Long, Chider Chen, Patrick Seale, Ling Qin
Software Mentions: 6
Published: over 4 years ago

10.1093/bib/bbaa138

A large-scale investigation and identification of methicillin-resistant Staphylococcus aureus based on peaks binning of matrix-assisted laser desorption ionization-time of flight MS spectra
Cited by: 22
Author(s): Hsin-Yao Wang, Chia-Ru Chung, Zhuo Wang, Shangfu Li, Bo Yu Chu, Jorng-Tzong Horng, Jang Jih Lu, Tzong-Yi Lee
Software Mentions: 6
Published: over 4 years ago

10.1186/s13326-020-00228-8

Identifying disease trajectories with predicate information from a knowledge graph
Cited by: 4
Author(s): Wytze J. Vlietstra, Rein Vos, Marjan van den Akker, Erik M. van Mulligen, Jan A. Kors
Software Mentions: 6
Published: over 4 years ago

10.18632/aging.101264

Machine learning for predicting lifespan-extending chemical compounds
Cited by: 32
Author(s): Diogo Barardo, Danielle Newby, Daniel Thornton, Taravat Ghafourian, João Pedro de Magalhães, Alex A. Freitas
Software Mentions: 6
Published: over 7 years ago

10.7554/eLife.58371

Bacterial symbiont subpopulations have different roles in a deep-sea symbiosis
Cited by: 17
Author(s): Tjorven Hinzke, Manuel Kleiner, Mareike Meister, Rabea Schlüter, Christian Hentschker, Jan Pané‐Farré, Petra Hildebrandt, Horst Felbeck, Stefan M. Sievert, Florian Bonn, Uwe Völker, Dörte Becher, Thomas Schweder, Stephanie Markert
Software Mentions: 6
Published: almost 4 years ago

10.3390/v13020169

The Ecology of Nipah Virus in Bangladesh: A Nexus of Land-Use Change and Opportunistic Feeding Behavior in Bats
Cited by: 39
Author(s): Clifton McKee, Ariful Islam, Stephen P. Luby, Henrik Salje, Peter J. Hudson, Raina K. Plowright, Emily S. Gurley
Software Mentions: 6
Published: almost 4 years ago

10.1007/s00109-020-01908-9

Immune landscape and a novel immunotherapy-related gene signature associated with clinical outcome in early-stage lung adenocarcinoma
Cited by: 17
Author(s): Xuanwen Bao, Run Shi, Tianyu Zhao, Yanfang Wang
Software Mentions: 6
Published: over 4 years ago

10.1038/s41598-020-68343-1

Performance prediction of crosses in plant breeding through genotype by environment interactions
Cited by: 13
Author(s): Javad Ansarifar, Faezeh Akhavizadegan, Lizhi Wang
Software Mentions: 6
Published: over 4 years ago

10.1038/s41598-021-97660-2

Kinematics and observer-animator kinematic similarity predict mental state attribution from Heider–Simmel style animations
Cited by: 4
Author(s): Bianca Schuster, Dagmar S. Fraser, Jasper J.F. van den Bosch, Sophie Sowden, Andrew S. Gordon, Dongsung Huh, Jennifer Cook
Software Mentions: 5
Published: over 3 years ago

10.1186/s13073-017-0493-2

Predicting cancer type from tumour DNA signatures
Cited by: 36
Author(s): Kee Pang Soh, Ewa Szczurek, Thomas Sakoparnig, Niko Beerenwinkel
Software Mentions: 5
Published: about 7 years ago

10.2196/18001

Development of Phenotyping Algorithms for the Identification of Organ Transplant Recipients: Cohort Study
Cited by: 4
Author(s): Lee Wheless, Laura X. Baker, L Edwards, Nimay Anand, Kelly A. Birdwell, Allison Hanlon, Mary‐Margaret Chren
Software Mentions: 5
Published: about 4 years ago

10.1128/mBio.02882-20

Comprehensive Genomic Investigation of Adaptive Mutations Driving the Low-Level Oxacillin Resistance Phenotype in Staphylococcus aureus
Cited by: 23
Author(s): Stefano Giulieri, Romain Guérillot, Jason C Kwong, Ian R. Monk, Ashleigh S Hayes, Diane Daniel, Sarah L. Baines, Norelle L Sherry, Natasha E Holmes, Peter Ward, Wei Gao, Torsten Seemann, Timothy P. Stinear, Benjamin P Howden
Software Mentions: 5
Published: almost 4 years ago

10.1371/journal.pone.0238947

Explaining the travelling behaviour of migrants using Facebook audience estimates
Cited by: 0
Author(s): Spyridon Spyratos, Michele Vespe, Franca Natale, Stefano Maria Iacus, Carlos Santamaría
Software Mentions: 5
Published: over 4 years ago

10.3390/rs11050551

The Influence of Region of Interest Heterogeneity on Classification Accuracy in Wetland Systems
Cited by: 11
Author(s): Tedros M. Berhane, Hugo Costa, Charles R. Lane, Oleg A. Anenkhonov, Victor V. Chepinoga, Bradley C. Autrey
Software Mentions: 5
Published: almost 6 years ago

10.1007/s00429-018-1683-4

Inter-individual differences in serotonin and glutamate co-transmission reflect differentiation in context-induced conditioned 50-kHz USVs response after morphine withdrawal
Cited by: 11
Author(s): Adam Hamed, Miron B. Kursa
Software Mentions: 5
Published: over 6 years ago

10.1038/s41598-020-67013-6

Finding undiagnosed patients with hepatitis C infection: an application of artificial intelligence to patient claims data
Cited by: 18
Author(s): Orla Doyle, Nadejda Leavitt, John A. Rigg
Software Mentions: 5
Published: over 4 years ago

10.1038/s41598-021-87870-z

Selection of nitrogen responsive root architectural traits in spinach using machine learning and genetic correlations
Cited by: 15
Author(s): Henry O. Awika, Amit Kumar Mishra, Haramrit Gill, James DiPiazza, Carlos A. Avila, Vijay Joshi
Software Mentions: 4
Published: over 3 years ago

10.3389/fpsyg.2021.712959

Co-occurrence Strength and Transitivity Effects on Spanish Clitic Case Variation With Reverse-Psychological Predicates
Cited by: 0
Author(s): Gustavo Guajardo
Software Mentions: 4
Published: over 3 years ago

10.1371/journal.pone.0242863

Transcriptional insights into pathogenesis of cutaneous systemic sclerosis using pathway driven meta-analysis assisted by machine learning methods
Cited by: 6
Author(s): Xiao Xu, Meera Ramanujam, Sudha Visvanathan, Shervin Assassi, Zheng Liu, Li Li
Software Mentions: 4
Published: about 4 years ago

10.7717/peerj.5854

Ensemble learning for detecting gene-gene interactions in colorectal cancer
Cited by: 19
Author(s): Faramarz Dorani, Ting Hu, Michael O. Woods, Guangju Zhai
Software Mentions: 4
Published: about 6 years ago

10.1038/s41598-020-67666-3

Finding hotspots: development of an adaptive spatial sampling approach
Cited by: 18
Author(s): Ricardo Andrade‐Pacheco, Francois Rerolle, Jean Frantz Lemoine, Leda Hernandez, Aboulaye Meïté, Lazarus Juziwelo, Aurélien F. Bibaut, Mark J. van der Laan, Benjamin F. Arnold, Hugh J. W. Sturrock
Software Mentions: 4
Published: over 4 years ago

10.3390/cancers12071778

Potential Added Value of PET/CT Radiomics for Survival Prognostication beyond AJCC 8th Edition Staging in Oropharyngeal Squamous Cell Carcinoma
Cited by: 32
Author(s): Stefan P. Haider, Tal Zeevi, Philipp Baumeister, Christoph Reichel, Kariem Sharaf, Reza Forghani, Benjamin H. Kann, Benjamin L. Judson, Manju L. Prasad, Barbara Burtness, Amit Mahajan, Sam Payabvash
Software Mentions: 4
Published: over 4 years ago

10.1186/s13040-021-00269-4

Biological knowledge-slanted random forest approach for the classification of calcified aortic valve stenosis
Cited by: 2
Author(s): Érika Cantor, Rodrigo Salas, Harvey Rosas, Sandra Guauque-Olarte
Software Mentions: 4
Published: over 3 years ago

10.3390/ijms21124310

Proteomic Screening for Prediction and Design of Antimicrobial Peptides with AmpGram
Cited by: 46
Author(s): Michał Burdukiewicz, Katarzyna Sidorczuk, Dominik Rafacz, Filip Pietluch, Jarosław Chilimoniuk, Stefan Rödiger, Przemysław Gagat
Software Mentions: 4
Published: over 4 years ago

10.1007/s10198-020-01213-9

Using machine learning to assess the predictive potential of standardized nursing data for home healthcare case-mix classification
Cited by: 1
Author(s): Maud H. de Korte, Gertjan S. Verhoeven, Arianne Elissen, Silke Metzelthin, Dirk Ruwaard, Misja Mikkers
Software Mentions: 4
Published: over 4 years ago

10.1186/s13075-019-2092-7

Rule-based and machine learning algorithms identify patients with systemic sclerosis accurately in the electronic health record
Cited by: 24
Author(s): Lia Jamian, Lee Wheless, Leslie J. Crofford, April Barnado
Software Mentions: 3
Published: about 5 years ago

10.1186/s13059-018-1603-1

Cell Hashing with barcoded antibodies enables multiplexing and doublet detection for single cell genomics
Cited by: 608
Author(s): Marlon Stoeckius, Shiwei Zheng, Brian Houck-Loomis, Stephanie Hao, Bertrand Z. Yeung, William M. Mauck, Peter Smibert, Rahul Satija
Software Mentions: 3
Published: about 6 years ago

10.1371/journal.pone.0253385

Hyperspectral band selection and modeling of soil organic matter content in a forest using the Ranger algorithm
Cited by: 6
Author(s): Yuanyuan Shi, Junyu Zhao, Xianchong Song, Zuoyu Qin, Lichao Wu, Huili Wang, Jian Tang
Software Mentions: 3
Published: over 3 years ago

10.1186/s12859-016-0995-8

Do little interactions get lost in dark random forests?
Cited by: 95
Author(s): Marvin N. Wright, Andreas Ziegler, Inke R. König
Software Mentions: 3
Published: over 8 years ago

10.1186/s12940-021-00704-3

Assessing additive effects of air pollutants on mortality rate in Massachusetts
Cited by: 2
Author(s): Yaguang Wei, Brent A. Coull, Petros Koutrakis, Jiabei Yang, Longxiang Li, Antonella Zanobetti, Joel Schwartz
Software Mentions: 3
Published: almost 4 years ago

10.3390/jpm11090898

Parsing Fabry Disease Metabolic Plasticity Using Metabolomics
Cited by: 1
Author(s): Franklin Ducatez, Wladimir Mauhin, Agnès Boullier, Carine Pilon, Tony Pereira, Raphaël Aubert, Olivier Benveniste, Stéphane Marret, Olivier Lidove, Soumeya Bekri, Abdellah Tebani
Software Mentions: 3
Published: over 3 years ago

10.3389/frai.2021.610197

An Explainable Multimodal Neural Network Architecture for Predicting Epilepsy Comorbidities Based on Administrative Claims Data
Cited by: 6
Author(s): Thomas Lindén, Johann de Jong, Chao Lu, Victor A. Kiri, Kathrin Haeffs, Holger Fröhlich
Software Mentions: 3
Published: over 3 years ago

10.1038/s41598-017-13210-9

Amyloidogenic motifs revealed by n-gram analysis
Cited by: 40
Author(s): Michał Burdukiewicz, Piotr Sobczyk, Stefan Rödiger, Anna Duda-Madej, Paweł Mackiewicz, Małgorzata Kotulska
Software Mentions: 3
Published: about 7 years ago

10.1186/s12859-021-04018-6

Reliable genomic strategies for species classification of plant genetic resources
Cited by: 7
Author(s): Artur van Bemmelen van der Plaat, R. van Treuren, T.J.L. van Hintum
Software Mentions: 3
Published: over 3 years ago

10.1371/journal.pone.0248297

Predicting subsurface sonar observations with satellite-derived ocean surface data in the California Current Ecosystem
Cited by: 2
Author(s): Kellie R. Gadeken, Maxwell B. Joseph, Joe McGlinchy, Kristopher B. Karnauskas, Carrie C. Wall
Software Mentions: 3
Published: over 3 years ago

10.1038/s41598-020-74082-0

Association of cancer screening and residing in a coal-polluted East Asian region with overall survival of lung cancer patients: a retrospective cohort study
Cited by: 2
Author(s): Runxiang Yang, Ming He, Dongmei Wang, Rongrong Ye, Liwei Lu, Rouyu Deng, Mohsin Shah, Sai‐Ching Jim Yeung
Software Mentions: 2
Published: about 4 years ago

10.1093/bioinformatics/bty373

The revival of the Gini importance?
Cited by: 373
Author(s): Stefano Nembrini, Inke R. König, Marvin N. Wright
Software Mentions: 2
Published: over 6 years ago

10.1371/journal.pcbi.1007349

Evaluation of parameters affecting performance and reliability of machine learning-based antibiotic susceptibility testing from whole genome sequencing data
Cited by: 58
Author(s): Alan C. Hicks, Nicole E. Wheeler, Leonor Sánchez-Busó, Jennifer L. Rakeman, Simon R. Harris, Yonatan H. Grad
Software Mentions: 2
Published: over 5 years ago

10.1186/s12889-021-11289-4

Assessing the perceived changes in neighborhood physical and social environments and how they are associated with Chinese internal migrants’ mental health
Cited by: 7
Author(s): Min Yang, Julian Hagenauer, Martin Dijst, Marco Helbich
Software Mentions: 2
Published: over 3 years ago

10.1001/jamanetworkopen.2020.23547

Development and Performance of a Clinical Decision Support Tool to Inform Resource Utilization for Elective Operations
Cited by: 9
Author(s): Benjamin A. Goldstein, Marcelo Cerullo, Vijay Krishnamoorthy, Jeanna Blitz, Leila Mureebe, Wendy Webster, Felicia Dunston, Andrew Stirling, Jennifer Gagnon, Charles D. Scales
Software Mentions: 2
Published: about 4 years ago

10.3390/jpm10040212

Genome Wide Epistasis Study of On-Statin Cardiovascular Events with Iterative Feature Reduction and Selection
Cited by: 4
Author(s): Solomon M. Adams, Habiba Feroze, Tara Nguyen, Seenae Eum, Cyrille K Cornelio, Arthur F. Harralson
Software Mentions: 2
Published: about 4 years ago

10.1038/s41375-018-0229-3

Genomic prediction of relapse in recipients of allogeneic haematopoietic stem cell transplantation
Cited by: 13
Author(s): Jarmo Ritari, Kati Hyvärinen, Satu Koskela, Maija Itälä‐Remes, Riitta Niittyvuopio, Anne Nihtinen, Urpu Salmenniemi, Matti Putkonen, Liisa Volin, Tony Kwan, Tomi Pastinen, Jukka Partanen
Software Mentions: 2
Published: over 6 years ago

10.1038/s41598-021-94964-1

Dialysis adequacy predictions using a machine learning method
Cited by: 6
Author(s): Hyung Woo Kim, Seok‐Jae Heo, Jae Young Kim, Annie Kim, Chung Mo Nam, Beom Seok Kim
Software Mentions: 2
Published: over 3 years ago

10.1038/s41598-019-50837-2

New screening approach for Alzheimer’s disease risk assessment from urine lipid peroxidation compounds
Cited by: 22
Author(s): Carmen Peña-Bautista, Claire Vigor, Jean‐Marie Galano, Camille Oger, Thierry Durand, I. Ferrer, Ana Cuevas, Rogelio López‐Cuevas, Miguel Baquero, Marina López-Nogueroles, Máximo Vento, David Hervás‐Marín, Ana García‐Blanco, Consuelo Cháfer-Pericás
Software Mentions: 2
Published: about 5 years ago

Projects: pypi: ranger

Papers Mentioning ranger 91