Ecosyste.ms: Papers

An open API service providing mapping between scientific papers and software projects that are mentioned in them.
All mentions data is based on the CZI Software Mentions dataset.

Projects: cran: e1071

https://packages.ecosyste.ms/registries/cran.r-project.org/packages/e1071

Misc Functions of the Department of Statistics, Probability Theory Group (Formerly: E1071), TU Wien
73 versions
Latest release: almost 2 years ago
365 dependent packages
333,175 downloads last month

Papers Mentioning e1071 419

10.3389/fcell.2020.577125
Development of a Metastasis-Related Immune Prognostic Model of Metastatic Colorectal Cancer and Its Usefulness to Immunotherapy
Cited by: 11
Author(s): Zhiwen Luo, Xiao Chen, Yefan Zhang, Zhen Huang, Hong Zhao, Jianjun Zhao, Zhiyu Li, Jianguo Zhou, Jianmei Liu, Jianqiang Cai, Xinyu Bi
Software Mentions: 26
Published: almost 4 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: over 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: almost 4 years ago
10.3390/ijms21186652
Identification of Gastritis Subtypes by Convolutional Neuronal Networks on Histological Images of Antrum and Corpus Biopsies
Cited by: 15
Author(s): Georg Steinbuß, Katharina Kriegsmann, Mark Kriegsmann
Software Mentions: 19
Published: about 4 years ago
10.3390/ijms21228837
Machine Learning Identifies Robust Matrisome Markers and Regulatory Mechanisms in Cancer
Cited by: 6
Author(s): Anni Kääriäinen, Vilma Pesola, Annalena Dittmann, Juho A. J. Kontio, Jarkko Koivunen, Taina Pihlajaniemi, Valerio Izzi
Software Mentions: 18
Published: almost 4 years ago
10.3389/fonc.2021.646267
Exploring MRI Characteristics of Brain Diffuse Midline Gliomas With the H3 K27M Mutation Using Radiomics
Cited by: 13
Author(s): Qian Li, Fei Dong, Biao Jiang, Minming Zhang
Software Mentions: 18
Published: over 3 years ago
10.3390/cancers12040957
Pan-Cancer Analysis of Radiotherapy Benefits and Immune Infiltration in Multiple Human Cancers
Cited by: 10
Author(s): Pengbo Wen, Yang Gao, Bin Chen, Xiaojing Qi, Guanshuo Hu, An Xu, Junfeng Xia, Lijun Wu, Lu Han, Guoping Zhao
Software Mentions: 16
Published: over 4 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: about 16 years ago
10.3390/cancers13133166
High-Risk Clinicopathological and Genetic Features and Outcomes in Patients Receiving Neoadjuvant Radiochemotherapy for Locally Advanced Rectal Cancer
Cited by: 3
Author(s): Sofía Del Carmen, Luis A. Corchete, Cristina Velasco, Julia Sanz, José A. Sánchez Alcázar, José María Sánchez García, Ana Isabel Enríquez Rodríguez, Rosario Vidal-Tocino, A Barrio Rodriguez, Luis Alberto Pérez-Romasanta, José María Sayagués, Mónica Viñarás Abad
Software Mentions: 16
Published: over 3 years ago
10.1186/s12859-015-0719-5
mAPKL: R/ Bioconductor package for detecting gene exemplars and revealing their characteristics
Cited by: 3
Author(s): Αλέξανδρος Σακελλαρίου, George M. Spyrou
Software Mentions: 15
Published: about 9 years ago
10.1186/s12859-021-04261-x
Machine learning-based prediction of survival prognosis in cervical cancer
Cited by: 16
Author(s): Dongyan Ding, Tingyuan Lang, Dongling Zou, Jianrong Tan, Jia Chen, Lei Zhou, Dong Wang, Rong Li, Yunzhe Li, Jingshu Liu, Cui Ma, Qi Zhou
Software Mentions: 14
Published: over 3 years ago
10.1007/s43032-020-00438-6
Changes in the Vaginal Microbiome during the Pregnancy to Postpartum Transition
Cited by: 24
Author(s): Kenetta L. Nunn, Steven S. Witkin, Gudrun Schneider, Allison Boester, Dimitrios Nasioudis, Evelyn Minis, Karol Gliniewicz, Larry J. Forney
Software Mentions: 14
Published: almost 4 years ago
10.1038/s41598-020-69361-9
Effects of different intracranial volume correction methods on univariate sex differences in grey matter volume and multivariate sex prediction
Cited by: 28
Author(s): Carles Sanchis‐Segura, M.V. Ibáñez-Gual, Naiara Aguirre, Álvaro Javier Cruz-Gómez, Cristina Forn
Software Mentions: 14
Published: over 4 years ago
10.1186/1471-2105-13-133
Bios2mds: an R package for comparing orthologous protein families by metric multidimensional scaling
Cited by: 30
Author(s): Julien Pelé, Jean Michel Bécu, Hervé Abdi, Marie Chabbert
Software Mentions: 14
Published: over 12 years ago
10.1002/ece3.5968
Contrasting responses to climate change at Himalayan treelines revealed by population demographics of two dominant species
Cited by: 23
Author(s): Kumar P. Mainali, Bharat Babu Shrestha, Ravi Kumar Sharma, Arjun Adhikari, Eliezer Gurarie, Michael C. Singer, Camille Parmesan
Software Mentions: 13
Published: almost 5 years ago
10.1016/j.mbplus.2019.04.001
Pan-Cancer analysis of the expression and regulation of matrisome genes across 32 tumor types
Cited by: 37
Author(s): Valerio Izzi, Juho Lakkala, Raman Devarajan, Anni Kääriäinen, Jarkko Koivunen, Ritva Heljasvaara, Taina Pihlajaniemi
Software Mentions: 13
Published: almost 6 years ago
10.1371/journal.pone.0212669
Batch adjustment by reference alignment (BARA): Improved prediction performance in biological test sets with batch effects
Cited by: 3
Author(s): Robin Gradin, Malin Lindstedt, Henrik J. Johansson
Software Mentions: 13
Published: over 5 years ago
10.1371/journal.pone.0135784
Comparison of Nine Statistical Model Based Warfarin Pharmacogenetic Dosing Algorithms Using the Racially Diverse International Warfarin Pharmacogenetic Consortium Cohort Database
Cited by: 38
Author(s): Rong Liu, Xi Li, Wei Zhang, Hong‐Hao Zhou
Software Mentions: 13
Published: about 9 years ago
10.3389/fcimb.2021.688256
Machine Learning Uses Chemo-Transcriptomic Profiles to Stratify Antimalarial Compounds With Similar Mode of Action
Cited by: 1
Author(s): Ashleigh van Heerden, Roelof van Wyk, Lyn-Marié Birkholtz
Software Mentions: 13
Published: over 3 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: about 6 years ago
10.1002/cam4.2786
FOLFOX treatment response prediction in metastatic or recurrent colorectal cancer patients via machine learning algorithms
Cited by: 24
Author(s): Wei Lu, Dongliang Fu, Xianglong Kong, Zhiheng Huang, Maxwell Hwang, Yaowu Zhu, Liubo Chen, Kai Jiang, Xinlin Li, Yihua Wu, Jun Li, Ying Yuan, Kefeng Ding
Software Mentions: 12
Published: almost 5 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: about 7 years ago
10.1371/journal.pone.0207491
Feature selection and prediction of treatment failure in tuberculosis
Cited by: 30
Author(s): Christopher Martin Sauer, David Sasson, Kenneth E. Paik, Ned McCague, Leo Anthony Celi, Iván Sánchez Fernández, Ben Illigens
Software Mentions: 12
Published: almost 6 years ago
10.3389/fsufs.2020.561517
Predictive Models May Complement or Provide an Alternative to Existing Strategies for Assessing the Enteric Pathogen Contamination Status of Northeastern Streams Used to Provide Water for Produce Production
Cited by: 19
Author(s): Daniel Weller, Tanzy Love, Alexandra Belias, Martin Wiedmann
Software Mentions: 12
Published: about 4 years ago
10.3390/metabo7020030
Evaluation of Classifier Performance for Multiclass Phenotype Discrimination in Untargeted Metabolomics
Cited by: 33
Author(s): Patrick J. Trainor, Andrew P. DeFilippis, N. Shesh
Software Mentions: 12
Published: over 7 years ago
10.1371/journal.pone.0231500
Propensity score adjustment using machine learning classification algorithms to control selection bias in online surveys
Cited by: 23
Author(s): Ramón Ferri‐García, María del Mar Rueda
Software Mentions: 12
Published: over 4 years ago
10.1007/s00216-020-03093-7
Repeated double cross-validation applied to the PCA-LDA classification of SERS spectra: a case study with serum samples from hepatocellular carcinoma patients
Cited by: 23
Author(s): Elisa Gurian, Alessia Di Silvestre, Elisa Mitri, Devis Pascut, Claudio Tiribelli, Mauro Giuffrè, Lory Saveria Crocè, Valter Sergo, Alois Bonifacio
Software Mentions: 12
Published: almost 4 years ago
10.1038/srep42192
Application of Machine-Learning Models to Predict Tacrolimus Stable Dose in Renal Transplant Recipients
Cited by: 86
Author(s): Jie Tang, Rong Liu, Yueli Zhang, Mou-Ze Liu, HU Yong-fang, Minghai Shao, Lan Zhu, Hua‐Wen Xin, Feng Gao, Wenjun Shang, Xiang‐Gao Meng, Lirong Zhang, Yingzi Ming, Wei Zhang
Software Mentions: 11
Published: over 7 years ago
10.3390/foods10010143
Intramuscular Fat Prediction Using Color and Image Analysis of Bísaro Pork Breed
Cited by: 7
Author(s): Alfredo Teixeira, Severiano Silva, Marianne Hasse, José Almeida, Luís G. Dias
Software Mentions: 11
Published: almost 4 years ago
10.1186/s12859-018-2105-6
Building protein-protein interaction networks for Leishmania species through protein structural information
Cited by: 17
Author(s): Crhisllane Rafaele dos Santos Vasconcelos, Túlio de Lima Campos, Antônio Mauro Rezende
Software Mentions: 11
Published: over 6 years ago
10.1186/s40168-020-00805-0
Domestication of Oryza species eco-evolutionarily shapes bacterial and fungal communities in rice seed
Cited by: 80
Author(s): Hyun Kim, Kiseok Keith Lee, Jongbum Jeon, William Harris, Yong-Hwan Lee
Software Mentions: 11
Published: over 4 years ago
10.3389/fphys.2021.714195
Development and Validation of a Prediction Model for Elevated Arterial Stiffness in Chinese Patients With Diabetes Using Machine Learning
Cited by: 5
Author(s): Qingqing Li, Wenhui Xie, Liping Li, Lijing Wang, Qinyi You, Lu Chen, Jing Li, Yilang Ke, Jun Fang, Libin Liu, Huashan Hong
Software Mentions: 11
Published: about 3 years ago
10.1038/s41598-018-33986-8
Identification of Novel Genes in Human Airway Epithelial Cells associated with Chronic Obstructive Pulmonary Disease (COPD) using Machine-Based Learning Algorithms
Cited by: 24
Author(s): Shayan Mostafaei, Anoshirvan Kazemnejad, Sadegh Azimzadeh Jamalkandi, Soroush Amirhashchi, Seamas C. Donnelly, Michelle E. Armstrong, Mohammad Doroudian
Software Mentions: 11
Published: about 6 years ago
10.1186/s12575-021-00152-w
N6-Methyladenosine Related Long Non-Coding RNAs and Immune Cell Infiltration in the Tumor Microenvironment of Gastric Cancer
Cited by: 9
Author(s): Zhong Lin Yu, Zheng Zhu
Software Mentions: 11
Published: over 3 years ago
10.3389/fcvm.2021.624714
Identification of Potential Biomarkers and Immune Infiltration Characteristics in Idiopathic Pulmonary Arterial Hypertension Using Bioinformatics Analysis
Cited by: 21
Author(s): Haowei Zeng, Xiaoqin Liu, Yushun Zhang
Software Mentions: 11
Published: almost 4 years ago
10.1186/s12918-018-0662-y
Integrating node embeddings and biological annotations for genes to predict disease-gene associations
Cited by: 27
Author(s): Sezin Kircali Ata, Le Ou-Yang, Yuan Fang, Chee-Keong Kwoh, Min Wu, Xiaoli Li
Software Mentions: 11
Published: almost 6 years ago
10.1186/s12859-020-03786-x
IP4M: an integrated platform for mass spectrometry-based metabolomics data mining
Cited by: 32
Author(s): Dandan Liang, Quan Liu, Kejun Zhou, Jia Wang, Guoxiang Xie, Tianlu Chen
Software Mentions: 11
Published: about 4 years ago
10.3390/diagnostics10030171
GRB10 and E2F3 as Diagnostic Markers of Osteoarthritis and Their Correlation with Immune Infiltration
Cited by: 56
Author(s): Yajun Deng, Enhui Ren, Wenhua Yuan, Guang-Zhi Zhang, Zhi-Xi Wu, Qiqi Xie
Software Mentions: 11
Published: over 4 years ago
10.1186/s12935-021-02041-4
Ten-gene signature reveals the significance of clinical prognosis and immuno-correlation of osteosarcoma and study on novel skeleton inhibitors regarding MMP9
Cited by: 17
Author(s): Weihang Li, Ziyi Ding, Dong Wang, Chengfei Li, Yikai Pan, Yingjing Zhao, Hongzhe Zhao, Tianxing Lu, Rui Xu, Shilei Zhang, Bin Yuan, Yunlong Zhao, Yanjiang Yin, Yuan Gao, Jing Li, Ming Yan
Software Mentions: 11
Published: over 3 years ago
10.1038/s41598-019-46850-0
Deep Learning using Convolutional LSTM estimates Biological Age from Physical Activity
Cited by: 56
Author(s): Syed Ashiqur Rahman, Donald A. Adjeroh
Software Mentions: 11
Published: over 5 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: over 6 years ago
10.34133/2020/8954085
Machine Learning-Based Presymptomatic Detection of Rice Sheath Blight Using Spectral Profiles
Cited by: 23
Author(s): Anna O. Conrad, Wei Li, Da-Young Lee, Guo‐Liang Wang, Luis E. Rodriguez‐Saona, Pierluigi Bonello
Software Mentions: 10
Published: almost 5 years ago
10.1155/2020/6539398
Distinguishing Kawasaki Disease from Febrile Infectious Disease Using Gene Pair Signatures
Cited by: 1
Author(s): Jiayong Zhong, Qingsheng Huang, Yanfei Wang, Huan Gao, Hongling Jia, Jun Fan, Huiying Liang
Software Mentions: 10
Published: over 4 years ago
10.1186/s13321-015-0094-2
RRegrs: an R package for computer-aided model selection with multiple regression models
Cited by: 40
Author(s): Georgia Tsiliki, Cristian R. Munteanu, José A. Seoane, Carlos Fernández-Lozano, Haralambos Sarimveis, Egon Willighagen
Software Mentions: 10
Published: about 9 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: about 5 years ago
10.1093/gigascience/giaa030
Multi-dimensional machine learning approaches for fruit shape phenotyping in strawberry
Cited by: 26
Author(s): Mitchell J Feldmann, Michael A. Hardigan, Randi Famula, Cindy M. López, Amy Tabb, Glenn Cole, Steven J. Knapp
Software Mentions: 10
Published: over 4 years ago
10.1186/s13040-021-00235-0
Data analytics and clinical feature ranking of medical records of patients with sepsis
Cited by: 11
Author(s): Davide Chicco, Luca Oneto
Software Mentions: 10
Published: almost 4 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: about 5 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: over 4 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: over 10 years ago
10.3390/molecules25071576
Model Optimization for the Prediction of Red Wine Phenolic Compounds Using Ultraviolet–Visible Spectra
Cited by: 4
Author(s): Chris Beaver, Thomas S. Collins, James F. Harbertson
Software Mentions: 9
Published: over 4 years ago
10.3389/fgene.2021.691465
ARG2, MAP4K5 and TSTA3 as Diagnostic Markers of Steroid-Induced Osteonecrosis of the Femoral Head and Their Correlation With Immune Infiltration
Cited by: 10
Author(s): Rongguo Yu, Jiayu Zhang, Youguang Zhuo, Hong Xu, Jie Ye, Susu Tang, Nannan Liu, Yiyuan Zhang
Software Mentions: 9
Published: over 3 years ago
10.1186/1471-2105-16-S6-S3
Machine-learning scoring functions for identifying native poses of ligands docked to known and novel proteins
Cited by: 42
Author(s): Hossam M. Ashtawy, Nihar R. Mahapatra
Software Mentions: 9
Published: over 9 years ago
10.3390/jcm10194354
Application of an Exploratory Knowledge-Discovery Pipeline Based on Machine Learning to Multi-Scale OMICS Data to Characterise Myocardial Injury in a Cohort of Patients with Septic Shock: An Observational Study
Cited by: 3
Author(s): Bernardo Bollen Pinto, Vicent Ribas Ripoll, Paula Subías-Beltrán, Antoine Herpain, Cristina Barlassina, Eliandre de Oliveira, Roberta Pastorelli, Daniele Braga, Matteo Barcella, Laia Subirats, Julia Bauzá‐Martinez, Antonia Odena, Manuela Ferrario, Giuseppe Baselli, Federico Aletti, Karim Bendjelid
Software Mentions: 9
Published: about 3 years ago
10.1155/2020/4252580
A Novel RNA-Seq-Based Model for Preoperative Prediction of Lymph Node Metastasis in Oral Squamous Cell Carcinoma
Cited by: 7
Author(s): Bo Qiao, Min Zhao, Jing Wu, Huan Wu, Yiming Zhao, Fanhao Meng, Yu Tian, Situo Wang, Jianxin Shi, Haizhong Zhang
Software Mentions: 9
Published: about 4 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: about 11 years ago
10.3390/e21050513
Mimicking Anti-Viruses with Machine Learning and Entropy Profiles
Cited by: 10
Author(s): Héctor D. Menéndez, José Luís Llorente
Software Mentions: 9
Published: over 5 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: over 9 years ago
10.3389/fpls.2019.01380
The Development of Hyperspectral Distribution Maps to Predict the Content and Distribution of Nitrogen and Water in Wheat (Triticum aestivum)
Cited by: 52
Author(s): Brooke Bruning, Huajian Liu, Chris Brien, Bettina Berger, Mervyn K. Lewis, Trevor Garnett
Software Mentions: 9
Published: about 5 years ago
10.1186/s13058-018-1090-z
Molecular and epigenetic profiles of BRCA1-like hormone-receptor-positive breast tumors identified with development and application of a copy-number-based classifier
Cited by: 4
Author(s): Youdinghuan Chen, Yue Wang, Lucas A. Salas, Todd W. Miller, Kenneth M. K. Mark, Jonathan D. Marotti, Arminja N. Kettenbach, Chao Cheng, Brock C. Christensen
Software Mentions: 9
Published: almost 6 years ago
10.1186/s13040-016-0086-4
Prediction of donor splice sites using random forest with a new sequence encoding approach
Cited by: 31
Author(s): Prabina Kumar Meher, Tanmaya Kumar Sahu, Atmakuri Ramakrishna Rao
Software Mentions: 9
Published: almost 9 years ago
10.1186/1471-2407-14-130
Systematic analysis of 18F-FDG PET and metabolism, proliferation and hypoxia markers for classification of head and neck tumors
Cited by: 21
Author(s): Bianca A.W. Hoeben, Maud H.W. Starmans, Ralph T.H. Leijenaar, Ludwig Dubois, Albert J. van der Kogel, J.H.A.M. Kaanders, Paul C. Boutros, Johan Bussink
Software Mentions: 9
Published: over 10 years ago
10.7554/eLife.40757
Targets and genomic constraints of ectopic Dnmt3b expression
Cited by: 24
Author(s): Yingying Zhang, Jocelyn Charlton, Rahul Karnik, Isabel Beerman, Zachary D. Smith, Hongcang Gu, Patrick Boyle, Xiaoli Mi, Kendell Clement, Ramona Pop, Andreas Gnirke, Derrick J. Rossi, Alexander Meissner
Software Mentions: 9
Published: almost 6 years ago
10.1186/s13104-016-1945-2
Feature selection and validated predictive performance in the domain of Legionella pneumophila: a comparative study
Cited by: 9
Author(s): Tjeerd van der Ploeg, Ewout W. Steyerberg
Software Mentions: 9
Published: over 8 years ago
10.3389/fonc.2021.711020
Integration of scRNA-Seq and Bulk RNA-Seq to Analyse the Heterogeneity of Ovarian Cancer Immune Cells and Establish a Molecular Risk Model
Cited by: 37
Author(s): Leilei Liang, Jing Yu, Jian Li, Ning Li, Jing Liu, Lin Xiu, Jia Zeng, Tiantian Wang, Lingying Wu
Software Mentions: 9
Published: about 3 years ago
10.3389/fmicb.2018.02571
PredT4SE-Stack: Prediction of Bacterial Type IV Secreted Effectors From Protein Sequences Using a Stacked Ensemble Method
Cited by: 97
Author(s): Yi Xiong, Qiankun Wang, Junchen Yang, Xiaolei Zhu, Dong‐Qing Wei
Software Mentions: 9
Published: about 6 years ago
10.1371/journal.pone.0238757
Predicting drug sensitivity of cancer cells based on DNA methylation levels
Cited by: 4
Author(s): Sofia Pontes de Miranda, Fernanda Baião, Julia L. Fleck, Stephen R. Piccolo
Software Mentions: 9
Published: about 3 years ago
10.1038/s41598-020-69772-8
SomaticCombiner: improving the performance of somatic variant calling based on evaluation tests and a consensus approach
Cited by: 15
Author(s): Mingyi Wang, Wen Luo, Kristine Jones, Xiaopeng Bian, Russell D. Williams, Herbert Higson, Dongjing Wu, Belynda Hicks, Meredith Yeager, Bin Zhu
Software Mentions: 9
Published: over 4 years ago
10.1186/s12014-017-9163-z
Discovery and validation of a colorectal cancer classifier in a new blood test with improved performance for high-risk subjects
Cited by: 10
Author(s): Lisa J. Croner, Roslyn Dillon, Athit Kao, Stefanie N. Kairs, Ryan W. Benz, Ib Jarle Christensen, Hans Jørgen Nielsen, John E. Blume, Bruce E. Wilcox
Software Mentions: 9
Published: over 7 years ago
10.3389/fnhum.2013.00520
Decreased small-world functional network connectivity and clustering across resting state networks in schizophrenia: an fMRI classification tutorial
Cited by: 74
Author(s): Ariana Anderson, Mark S. Cohen
Software Mentions: 9
Published: almost 12 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: over 3 years ago
10.1186/s12859-018-2069-6
A gene profiling deconvolution approach to estimating immune cell composition from complex tissues
Cited by: 12
Author(s): Shu Hwa Chen, Wen Yu Kuo, Sheng Su, Wei Chun Chung, Jen Ming Ho, Henry Horng Shing Lu, Chung Yen Lin
Software Mentions: 8
Published: over 6 years ago
10.1371/journal.pone.0219889
Spring onion seed demand forecasting using a hybrid Holt-Winters and support vector machine model
Cited by: 11
Author(s): Yihang Zhu, Yinglei Zhao, Zhang Jing-jin, Nan Geng, Danfeng Huang
Software Mentions: 8
Published: over 5 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: about 8 years ago
10.1371/journal.pone.0143970
A Transcriptional Signature of Fatigue Derived from Patients with Primary Sjögren’s Syndrome
Cited by: 37
Author(s): Katherine James, Shereen Al-Ali, Jessica Tarn, Simon Cockell, Colin S. Gillespie, Victoria Hindmarsh, James Locke, Sheryl Mitchell, Dennis Lendrem, Simon Bowman, Elizabeth Price, Colin Pease, Paul Emery, Peter Lanyon, John Hunter, Monica Gupta, Michèle Bombardieri, Nurhan Sutcliffe, Costantino Pitzalis, John McLaren, Annie Cooper, Marian Regan, Ian Giles, David Isenberg, Vadivelu Saravanan, David Coady, Bhaskar Dasgupta, Neil McHugh, Steven Young-Min, Robert J. Moots, Nagui Gendi, Mohammed Akil, Bridget Griffiths, Anil Wipat, Julia L. Newton, David Jones, John D. Isaacs, Jennifer Hallinan, Wan‐Fai Ng
Software Mentions: 8
Published: almost 9 years ago
10.3389/fgene.2019.00853
SeqDeχ: A Sequence Deconvolution Tool for Genome Separation of Endosymbionts From Mixed Sequencing Samples
Cited by: 0
Author(s): Alice Chiodi, Francesco Comandatore, Davide Sassera, Giulio Petroni, Claudio Bandi, Matteo Brilli
Software Mentions: 8
Published: about 5 years ago
10.3389/fcell.2021.642650
A Novel CpG Methylation Risk Indicator for Predicting Prognosis in Bladder Cancer
Cited by: 9
Author(s): Yufeng Guo, Jun Yin, Yuanheng Dai, Yu-Dong Guan, Pinjin Chen, Yongqiang Chen, Chen‐Zheng Huang, Yong‐Jie Lu, Lirong Zhang, Dae‐Kyu Song
Software Mentions: 8
Published: about 3 years ago
10.1371/journal.pone.0196865
Predicting potential drug-drug interactions on topological and semantic similarity features using statistical learning
Cited by: 89
Author(s): Andrej Kastrin, Polonca Ferk, Brane Leskošek
Software Mentions: 8
Published: over 6 years ago
10.1155/2015/789516
Differential Expression Analysis in RNA-Seq by a Naive Bayes Classifier with Local Normalization
Cited by: 6
Author(s): Yongchao Dou, Xiaoli Guo, Lingling Yuan, David R. Holding, Chi Zhang
Software Mentions: 8
Published: almost 10 years ago
10.3389/fcell.2021.665869
Enhancing Fatty Acid Catabolism of Macrophages Within Aberrant Breast Cancer Tumor Microenvironment Can Re-establish Antitumor Function
Cited by: 4
Author(s): Yucui Gu, Xingjian Niu, Lei Yin, Yiran Wang, Yue Yang, Xudong Yang, Qingyuan Zhang, Hongfei Ji
Software Mentions: 8
Published: over 3 years ago
10.3389/fcvm.2020.586871
Predicting Diagnostic Gene Biomarkers Associated With Immune Infiltration in Patients With Acute Myocardial Infarction
Cited by: 64
Author(s): Enfa Zhao, Hang Xie, Yushun Zhang
Software Mentions: 8
Published: about 4 years ago
10.3389/fonc.2021.640881
Exploration of an Integrative Prognostic Model of Radiogenomics Features With Underlying Gene Expression Patterns in Clear Cell Renal Cell Carcinoma
Cited by: 10
Author(s): Yeqian Huang, Hao Zeng, Linyan Chen, Yuling Luo, Xuelei Ma, Ye Zhao
Software Mentions: 8
Published: over 3 years ago
10.1002/ece3.5940
Hollow oaks and beetle functional diversity: Significance of surroundings extends beyond taxonomy
Cited by: 11
Author(s): Ross Wetherbee, Tone Birkemoe, Olav Skarpaas, Anne Sverdrup‐Thygeson
Software Mentions: 8
Published: almost 5 years ago
10.3389/fonc.2020.00832
Diagnostic Value of Combinatorial Markers in Colorectal Carcinoma
Cited by: 7
Author(s): Veronika Voronova, Petr Glybochko, Andrey Svistunov, В В Фомин, Philipp Kopylov, Peter Tzarkov, А. В. Егоров, E. P. Gitel, А. А. Рагимов, Alexander Boroda, Elena Poddubskaya, Marina Sekacheva
Software Mentions: 8
Published: over 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: over 3 years ago
10.2196/15431
Ensemble Learning Models Based on Noninvasive Features for Type 2 Diabetes Screening: Model Development and Validation
Cited by: 9
Author(s): Tianzhou Yang, Li Zhang, Liwei Yi, Huawei Feng, Shimeng Li, Haoyu Chen, Jü Zhu, Zhao Jian, Yingyue Zeng, Huan Liu
Software Mentions: 8
Published: over 4 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: almost 5 years ago
10.3389/fonc.2021.561763
Predict Colon Cancer by Pairing Plasma miRNAs: Establishment of a Normalizer-Free, Cross-Platform Model
Cited by: 3
Author(s): Dashan Qin, Qingdong Guo, Rui Wei, Si Liu, Shoumin Zhu, Shutian Zhang, Li Min
Software Mentions: 8
Published: over 3 years ago
10.1186/s12967-021-02981-5
N6-Methyladenosine RNA modification in cerebrospinal fluid as a novel potential diagnostic biomarker for progressive multiple sclerosis
Cited by: 14
Author(s): Fei Ye, Tianzhu Wang, Xiaoxin Wu, Jie Liang, Jiaoxing Li, Wenli Sheng
Software Mentions: 8
Published: over 3 years ago
10.1098/rsos.200139
Behavioural inference from signal processing using animal-borne multi-sensor loggers: a novel solution to extend the knowledge of sea turtle ecology
Cited by: 23
Author(s): Lorène Jeantet, Víctor Planas‐Bielsa, Simon Benhamou, Sébastien Geiger, Jordan Martin, Flora Siegwalt, Pierre Lelong, Julie Gresser, Denis Etienne, Gaëlle Hiélard, Alexandre Arqué, Sidney Régis, Nicolas Lecerf, Cédric Frouin, Abdelwahab Benhalilou, Céline Murgale, Thomas Maillet, Lucas Andreani, Guilhem Campistron, Hélène Delvaux, Christelle Guyon, Sabine Richard, Fabien Lefèbvre, Nathalie Aubert, Caroline Habold, Yvon Le Maho, Damien Chevallier
Software Mentions: 7
Published: over 4 years ago
10.1080/0886022X.2020.1810068
Prediction models for acute kidney injury in patients with gastrointestinal cancers: a real-world study based on Bayesian networks
Cited by: 14
Author(s): Yang Li, Xiaohong Chen, Ziyan Shen, Yimei Wang, Jiayue Hu, Yunlu Zhang, Jiacheng Xu, Xiaoqiang Ding
Software Mentions: 7
Published: almost 5 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: over 5 years ago
10.1371/journal.pone.0219302
Artificial intelligence algorithm for predicting mortality of patients with acute heart failure
Cited by: 74
Author(s): Joon Kwon, Kyung Hee Kim, Ki‐Hyun Jeon, Sang Eun Lee, Hae Young Lee, Hyun Jai Cho, Jin Oh Choi, Eun Seok Jeon, Min Seok Kim, Jae Joong Kim, Kyung Kuk Hwang, Shung Chull Chae, Sang Hong Baek, Seok Min Kang, Dong Ju Choi, Byung Su Yoo, Kye Hun Kim, Hyun-Young Park, Myeong Chan Cho, Byung Hee Oh
Software Mentions: 7
Published: over 5 years ago
10.1073/pnas.2023170118
Global abundance estimates for 9,700 bird species
Cited by: 54
Author(s): Corey T. Callaghan, Shinichi Nakagawa, William K. Cornwell
Software Mentions: 7
Published: over 3 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: almost 4 years ago
10.1534/g3.117.300479
Multivariate Analysis of the Cotton Seed Ionome Reveals a Shared Genetic Architecture
Cited by: 13
Author(s): Duke Pauli, Gregory R. Ziegler, Min Ren, Matthew A. Jenks, Douglas J. Hunsaker, Min Zhang, Ivan Baxter, Michael A. Gore
Software Mentions: 7
Published: over 6 years ago
10.3389/fonc.2020.00061
The Prognostic Significance of Metabolic Syndrome and a Related Six-lncRNA Signature in Esophageal Squamous Cell Carcinoma
Cited by: 18
Author(s): Yu Liu, Li-Yu Wang, Hengchang Liu, Chunxiang Li, Jie He
Software Mentions: 7
Published: over 4 years ago
10.1186/cc11667
Identification of sepsis subtypes in critically ill adults using gene expression profiling
Cited by: 47
Author(s): David Maslove, Benjamin Tang, Anthony S. McLean
Software Mentions: 7
Published: almost 13 years ago
10.3389/fonc.2021.698278
A Focal Adhesion-Related Gene Signature Predicts Prognosis in Glioma and Correlates With Radiation Response and Immune Microenvironment
Cited by: 7
Author(s): Haonan Li, Guohui Wang, Wenyan Wang, Jie Pan, Huandi Zhou, Xuetao Han, Linlin Su, Zhenghui Ma, Liubing Hou, Xiaoying Xue
Software Mentions: 7
Published: about 3 years ago
10.3389/fneur.2021.580440
Machine Learning Models on ADC Features to Assess Brain Changes of Children With Pierre Robin Sequence
Cited by: 0
Author(s): Ying Wang, Feng Yang, Meijiao Zhu, Ming Yang
Software Mentions: 7
Published: over 3 years ago