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: mlr
https://packages.ecosyste.ms/registries/cran.r-project.org/packages/mlr
Machine Learning in R
24 versions
Latest release: about 2 years ago
39 dependent packages
18,806 downloads last month
Papers Mentioning mlr 64
10.15252/msb.20209539
Predictive features of gene expression variation reveal mechanistic link with differential expressionCited by: 36
Author(s): Olga M. Sigalova, Amirreza Shaeiri, Mattia Forneris, Eileen E. M. Furlong, Judith B. Zaugg
Software Mentions: 30
Published: over 4 years ago
10.3390/ijms21062114
Computational Models Using Multiple Machine Learning Algorithms for Predicting Drug Hepatotoxicity with the DILIrank DatasetCited 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
10.1093/gigascience/giaa026
ShinyLearner: A containerized benchmarking tool for machine-learning classification of tabular dataCited by: 13
Author(s): Stephen R. Piccolo, Terry J. Lee, Erica Suh, Kimball T Hill
Software Mentions: 21
Published: over 4 years ago
10.18632/aging.103499
Multi-omics network analysis reveals distinct stages in the human aging progression in epidermal tissueCited by: 16
Author(s): Nicholas Holzscheck, Jörn Söhle, Boris Kristof, Elke Grönniger, Stefan Gallinat, Horst Wenck, Marc Winnefeld, Cassandra Falckenhayn, Lars Kaderali
Software Mentions: 18
Published: over 4 years ago
10.1093/bioinformatics/btab039
mlr3proba: an R package for machine learning in survival analysisCited by: 38
Author(s): Raphael Sonabend, Franz J. Király, Andreas Bender, Bernd Bischl, Michel Lang
Software Mentions: 18
Published: almost 4 years ago
10.7717/peerj.5457
Global mapping of potential natural vegetation: an assessment of machine learning algorithms for estimating land potentialCited 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/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 WaterCited by: 12
Author(s): Daniel Weller, Tanzy Love, Martin Wiedmann
Software Mentions: 16
Published: over 3 years ago
10.1038/s41598-020-69683-8
Concomitant DNA methylation and transcriptome signatures define epidermal responses to acute solar UV radiationCited by: 5
Author(s): Nicholas Holzscheck, Jörn Söhle, T. Schläger, Cassandra Falckenhayn, Elke Grönniger, Ludger Kolbe, Horst Wenck, Lara Terstegen, Lars Kaderali, Marc Winnefeld, Katharina Gorges
Software Mentions: 16
Published: over 4 years ago
10.3389/fchem.2021.734132
The “DOLPHINS” Project: A Low-Cost Real-Time Multivariate Process Control From Large Sensor Arrays Providing Sparse Binary DataCited by: 1
Author(s): Eugenio Alladio, Marcello Baricco, Vincenzo Leogrande, Renato Pagliari, Fabio Pozzi, Paolo Foglio, Marco Vincenti
Software Mentions: 15
Published: over 3 years ago
10.1080/19490976.2021.1888673
Links between gut microbiome composition and fatty liver disease in a large population sampleCited by: 31
Author(s): Matti O. Ruuskanen, Fredrik Åberg, Ville Männistö, Aki S. Havulinna, Guillaume Méric, Yang Liu, Rohit Loomba, Yoshiki Vázquez-Baeza, Anupriya Tripathi, Liisa Valsta, Michael Inouye, Pekka Jousilahti, Veikko Salomaa, Mohit Jain, Rob Knight, Leo Lahti, Teemu J. Niiranen
Software Mentions: 14
Published: almost 4 years ago
10.3390/ijms21010019
Use of QSAR Global Models and Molecular Docking for Developing New Inhibitors of c-src Tyrosine KinaseCited by: 8
Author(s): Robert Ancuceanu, Bogdan Ionel Tamba, C. Stoicescu, Mihaela Dinu
Software Mentions: 13
Published: about 5 years ago
10.1038/s41598-021-90901-4
Characteristics of preoperative steroid profiles and glucose metabolism in patients with primary aldosteronism developing adrenal insufficiency after adrenalectomyCited by: 3
Author(s): Xiao Wang, Daniel A. Heinrich, Sonja Kunz, Nina Heger, Lisa Sturm, Olaf Uhl, Felix Beuschlein, Martín Reincke, Martin Bidlingmaier
Software Mentions: 13
Published: over 3 years ago
10.7717/peerj.5518
Random forest as a generic framework for predictive modeling of spatial and spatio-temporal variablesCited 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
10.1186/s12920-017-0303-0
Classifying cancer genome aberrations by their mutually exclusive effects on transcriptionCited by: 8
Author(s): Jonathan Dayton, Stephen R. Piccolo
Software Mentions: 12
Published: about 7 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 ProductionCited by: 19
Author(s): Daniel Weller, Tanzy Love, Alexandra Belias, Martin Wiedmann
Software Mentions: 12
Published: about 4 years ago
10.1186/s12967-017-1285-6
In silico prediction of novel therapeutic targets using gene–disease association dataCited by: 79
Author(s): Enrico Ferrero, Ian Dunham, Philippe Sanséau
Software Mentions: 12
Published: over 7 years ago
10.1186/s12859-018-2264-5
Random forest versus logistic regression: a large-scale benchmark experimentCited by: 396
Author(s): Raphäel Couronné, Philipp Probst, Anne‐Laure Boulesteix
Software Mentions: 11
Published: over 6 years ago
10.3389/fmicb.2019.02904
Fungal Traits Important for Soil AggregationCited by: 68
Author(s): Anika Lehmann, Weiguo Zheng, Masahiro Ryo, Katharina Soutschek, Julien Roy, Rebecca Rongstock, Stefanie Maaß, Matthias C. Rillig
Software Mentions: 11
Published: almost 5 years ago
10.3389/fimmu.2019.00827
Quantitative Prediction of the Landscape of T Cell Epitope Immunogenicity in Sequence SpaceCited by: 60
Author(s): Masato Ogishi, Hiroshi Yotsuyanagi
Software Mentions: 11
Published: over 5 years ago
10.1155/2017/7907163
A Multicriteria Approach to Find Predictive and Sparse Models with Stable Feature Selection for High-Dimensional DataCited by: 11
Author(s): Andrea Bommert, Jörg Rahnenführer, Michel Lang
Software Mentions: 11
Published: almost 8 years ago
10.3389/fdata.2020.00015
Improving Diagnosis of Depression With XGBOOST Machine Learning Model and a Large Biomarkers Dutch Dataset (n = 11,081)Cited by: 42
Author(s): Amita Sharma, W. Verbeke
Software Mentions: 9
Published: over 4 years ago
10.1371/journal.pone.0238757
Predicting drug sensitivity of cancer cells based on DNA methylation levelsCited by: 4
Author(s): Sofia Pontes de Miranda, Fernanda Baião, Julia L. Fleck, Stephen R. Piccolo
Software Mentions: 9
Published: over 3 years ago
10.1038/s41598-021-85639-y
African soil properties and nutrients mapped at 30 m spatial resolution using two-scale ensemble machine learningCited by: 79
Author(s): Tomislav Hengl, Matthew A. E. Miller, Josip Križan, Keith D. Shepherd, Andrew Sila, Milan Kilibarda, Ognjen Antonijević, Luka Glušica, A. Dobermann, Stephan M. Haefele, Steve P. McGrath, Gifty E. Acquah, Jamie Collinson, Leandro Parente, Mohammadreza Sheykhmousa, Kazuki Saito, Jean‐Martial Johnson, Jordan Chamberlin, Francis B. T. Silatsa, Martin Yemefack, John Wendt, R.A. MacMillan, Ichsani Wheeler, Jonathan H. Crouch
Software Mentions: 9
Published: almost 4 years ago
10.1371/journal.pcbi.1008126
Ten simple rules to power drug discovery with data scienceCited by: 10
Author(s): Enrico Ferrero, Sophie Brachat, Jeremy L. Jenkins, Philippe Marc, Peter Skewes-Cox, Robert C. Altshuler, Caroline Gubser Keller, Audrey Kauffmann, Erik K Sassaman, Jason M. Laramie, Birgit Schoeberl, Mark Borowsky, Nikolaus Stiefl
Software Mentions: 9
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 tissuesCited 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
10.1186/s12859-019-3087-8
PyBDA: a command line tool for automated analysis of big biological data setsCited by: 3
Author(s): Simon Dirmeier, Mario Emmenlauer, Christoph Dehio, Niko Beerenwinkel
Software Mentions: 8
Published: about 5 years ago
10.1371/journal.pone.0206662
Predicting hospital and emergency department utilization among community-dwelling older adults: Statistical and machine learning approachesCited by: 15
Author(s): Aaron Jones, Andrew P. Costa, Angelina Pesevski, Paul D. McNicholas
Software Mentions: 8
Published: about 6 years ago
10.1186/s12877-021-02346-z
Development of a multivariable prognostic PREdiction model for 1-year risk of FALLing in a cohort of community-dwelling older adults aged 75 years and above (PREFALL)Cited by: 6
Author(s): Gustav Valentin Gade, Martin Grønbech Jørgensen, Jesper Ryg, Tahir Masud, Lasse Jakobsen, Stig Andersen
Software Mentions: 8
Published: over 3 years ago
10.3390/cancers12102802
Comparison of the Tree-Based Machine Learning Algorithms to Cox Regression in Predicting the Survival of Oral and Pharyngeal Cancers: Analyses Based on SEER DatabaseCited by: 31
Author(s): Mi Du, Dandara Haag, John Lynch, Murthy Mittinty
Software Mentions: 8
Published: about 4 years ago
10.3390/molecules25246057
QSAR Model for Predicting the Cannabinoid Receptor 1 Binding Affinity and Dependence Potential of Synthetic CannabinoidsCited by: 5
Author(s): Won Young Lee, So‐Jung Park, Ji-Young Hwang, Choon‐Gon Jang, Yong Sup Lee, Jongmin Kim, Xiaodi Zhao, Aekyung Park, Kyung Hoon Min, Choon‐Gon Jang, Hyun-Ju Park
Software Mentions: 7
Published: about 4 years ago
10.1371/journal.pone.0223010
KETOS: Clinical decision support and machine learning as a service – A training and deployment platform based on Docker, OMOP-CDM, and FHIR Web ServicesCited by: 27
Author(s): Julian Gruendner, Thorsten Schwachhofer, Phillip Sippl, Nicolas Wolf, Marcel Erpenbeck, Christian Gülden, Lorenz A. Kapsner, Jakob Zierk, Sebastian Mate, Michael Stürzl, Roland S. Croner, Hans‐Ulrich Prokosch, Dennis Toddenroth
Software Mentions: 7
Published: about 5 years ago
10.1525/collabra.116
Individual Importance Weighting of Domain Satisfaction Ratings does Not Increase ValidityCited by: 21
Author(s): Julia M. Rohrer, Stefan C. Schmukle
Software Mentions: 7
Published: almost 7 years ago
10.1186/s12863-017-0576-5
Evaluation of methods and marker Systems in Genomic Selection of oil palm (Elaeis guineensis Jacq.)Cited by: 14
Author(s): Qi Bin Kwong, Chee Keng Teh, Ai Ling Ong, Fook Tim Chew, Sean Mayes, Harikrishna Kulaveerasingam, Martti T. Tammi, Suat Hui Yeoh, David R. Appleton, Jennifer Ann Harikrishna
Software Mentions: 7
Published: about 7 years ago
10.1186/s12859-021-04011-z
Empowering individual trait prediction using interactions for precision medicineCited by: 4
Author(s): Damian Gola, Inke R. König
Software Mentions: 7
Published: almost 4 years ago
10.3758/s13428-020-01435-y
Predicting affective appraisals from facial expressions and physiology using machine learningCited by: 3
Author(s): Laura Israel, Felix D. Schönbrodt
Software Mentions: 6
Published: over 4 years ago
10.7717/peerj.10187
Habitat preference, movements and growth of giant mottled eels, <i>Anguilla marmorata</i>, in a small subtropical Amami-Oshima Island riverCited by: 9
Author(s): Hikaru Itakura, Ryoshiro Wakiya
Software Mentions: 6
Published: about 4 years ago
10.1038/s41598-020-75974-x
Key factors explaining critical swimming speed in freshwater fish: a review and statistical analysis for Iberian speciesCited by: 30
Author(s): Carlos Cano‐Barbacil, Johannes Radinger, María Argudo, Francesc Rubio‐Gracia, Anna Vila‐Gispert, Emili García‐Berthou
Software Mentions: 6
Published: about 4 years ago
10.18632/aging.101264
Machine learning for predicting lifespan-extending chemical compoundsCited 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
10.1186/s12711-019-0453-y
Machine learning applied to transcriptomic data to identify genes associated with feed efficiency in pigsCited by: 24
Author(s): M. Piles, Carlos Fernández-Lozano, María Velasco-Galilea, Olga González‐Rodríguez, Juan Pablo Sánchez, D. Torrallardona, María Ballester, Raquel Quintanilla
Software Mentions: 6
Published: almost 6 years ago
10.1186/s13059-021-02306-1
Microbiome meta-analysis and cross-disease comparison enabled by the SIAMCAT machine learning toolboxCited by: 101
Author(s): Jakob Wirbel, Konrad Zych, Morgan Essex, Nicolai Karcher, Ece Kartal, Guillem Salazar, Peer Bork, Shinichi Sunagawa, Georg Zeller
Software Mentions: 6
Published: over 3 years ago
10.3390/molecules25061442
Discrimination of Gentiana and Its Related Species Using IR Spectroscopy Combined with Feature Selection and Stacked GeneralizationCited by: 26
Author(s): Tao Shen, Hong Yu, Yuanzhong Wang
Software Mentions: 6
Published: almost 5 years ago
10.3389/fmicb.2021.683685
Characterization of Supragingival Plaque and Oral Swab Microbiomes in Children With Severe Early Childhood CariesCited by: 13
Author(s): Vivianne Cruz de Jesus, Mohd Wasif Khan, Betty-Anne Mittermuller, Kangmin Duan, Pingzhao Hu, Robert J Schroth, Prashen Chelikani
Software Mentions: 5
Published: over 3 years ago
10.3390/e23091210
Mood Disorder Detection in Adolescents by Classification Trees, Random Forests and XGBoost in Presence of Missing DataCited by: 4
Author(s): E Turska, Szymon Jurga, Jarosław Piskorski
Software Mentions: 5
Published: over 3 years ago
10.1371/journal.pone.0257005
Comparison of machine learning methods for estimating case fatality ratios: An Ebola outbreak simulation studyCited by: 1
Author(s): Alpha Forna, Ilaria Dorigatti, Pierre Nouvellet, Christl A. Donnelly
Software Mentions: 5
Published: over 3 years ago
10.1186/s40425-019-0512-5
Complex inter-relationship of body mass index, gender and serum creatinine on survival: exploring the obesity paradox in melanoma patients treated with checkpoint inhibitionCited by: 100
Author(s): Girish S. Naik, Sushrut S. Waikar, Alistair E. W. Johnson, Elizabeth I. Buchbinder, Rizwan Haq, F. Stephen Hodi, Jonathan D. Schoenfeld, Patrick A. Ott
Software Mentions: 5
Published: over 5 years ago
10.1007/s11306-018-1419-8
Identification of a urine metabolite constellation characteristic for kidney allograft rejectionCited by: 18
Author(s): Miriam C. Banas, Sindy Neumann, Johannes Eiglsperger, Eric Schiffer, Franz Josef Putz, Simone Reichelt-Wurm, Bernhard K. Krämer, Philipp Pagel, Bernhard Banas
Software Mentions: 5
Published: over 6 years ago
10.1099/mgen.0.000224
mlplasmids: a user-friendly tool to predict plasmid- and chromosome-derived sequences for single speciesCited by: 110
Author(s): Sergio Arredondo-Alonso, Malbert R. C. Rogers, Johanna C. Braat, Tess D. Verschuuren, Janetta Top, Jukka Corander, Rob J. L. Willems, Anita C. Schürch
Software Mentions: 5
Published: about 6 years ago
10.3389/fsufs.2019.00124
Landscape, Water Quality, and Weather Factors Associated With an Increased Likelihood of Foodborne Pathogen Contamination of New York Streams Used to Source Water for Produce ProductionCited by: 42
Author(s): Daniel Weller, Alexandra Belias, Hyatt Green, Sherry Roof, Martin Wiedmann
Software Mentions: 5
Published: almost 5 years ago
10.1038/s41598-020-78392-1
Vital signs assessed in initial clinical encounters predict COVID-19 mortality in an NYC hospital systemCited by: 37
Author(s): Elza Rechtman, Paul Curtin, Esmeralda Álvarez Navarro, Sharon Nirenberg, Megan Horton
Software Mentions: 4
Published: about 4 years ago
10.1186/s13321-016-0117-7
ADMET evaluation in drug discovery: 15. Accurate prediction of rat oral acute toxicity using relevance vector machine and consensus modelingCited by: 94
Author(s): Tailong Lei, Youyong Li, Yuelin Song, Dan Li, Huiyong Sun, Tingjun Hou
Software Mentions: 4
Published: almost 9 years ago
10.1371/journal.pone.0225438
Ecosystem functioning in urban grasslands: The role of biodiversity, plant invasions and urbanizationCited by: 20
Author(s): Gabriela Onandía, Conrad Schittko, Masahiro Ryo, Maud Bernard‐Verdier, Tina Heger, Jasmin Joshi, Ingo Kowarik, Arthur Geßler
Software Mentions: 3
Published: about 5 years ago
10.3390/biomedicines8090358
High-Dimensional Analysis of Immune Cell Composition Predicts Periprosthetic Joint Infections and Dissects Its PathophysiologyCited by: 11
Author(s): Maximilian F Korn, Richard R. Stein, Andreas Dolf, Farhad Shakeri, Andreas Buneß, Cäcilia Hilgers, Werner Masson, Sascha Gravius, Hendrik Kohlhof, C. Burger, Dieter Christian Wirtz, Thomas M. Randau, Frank A. Schildberg
Software Mentions: 3
Published: over 4 years ago
10.1038/s41598-019-52250-1
Removal of deep-sea sponges by bottom trawling in the Flemish Cap area: conservation, ecology and economic assessmentCited by: 36
Author(s): Christopher K. Pham, F. Javier Murillo, Camille Lirette, Manuel Maldonado, Ana Colaço, Daniela Ottaviani, Ellen Kenchington
Software Mentions: 3
Published: about 5 years ago
10.1186/s12936-019-2893-9
Modelling reactive case detection strategies for interrupting transmission of Plasmodium falciparum malariaCited by: 22
Author(s): Theresa Reiker, Nakul Chitnis, T. Smith
Software Mentions: 3
Published: over 5 years ago
10.1038/s41598-020-77220-w
A comparison of machine learning methods for survival analysis of high-dimensional clinical data for dementia predictionCited by: 100
Author(s): Annette Spooner, Emily Chen, Arcot Sowmya, Perminder S. Sachdev, Nicole A. Kochan, Julian N. Trollor, Henry Brodaty
Software Mentions: 3
Published: about 4 years ago
10.3390/cancers13092001
Machine Learning for Prediction of Survival Outcomes with Immune-Checkpoint Inhibitors in Urothelial CancerCited by: 11
Author(s): Ahmad Y. Abuhelwa, Ganessan Kichenadasse, Ross A. McKinnon, Andrew Rowland, Ashley M. Hopkins, Michael J. Sorich
Software Mentions: 3
Published: over 3 years ago
10.1186/s13561-017-0168-0
Economics of open tibial fractures: the pivotal role of length-of-stay and infectionCited by: 28
Author(s): Harm Hoekstra, Bart Smeets, Willem‐Jan Metsemakers, Anne-Cécile Spitz, Stefaan Nijs
Software Mentions: 2
Published: about 7 years ago
10.7717/peerj.9920
A multi-class classification model for supporting the diagnosis of type II diabetes mellitusCited by: 17
Author(s): Kuang-Ming Kuo, Paul C. Talley, Yu-Cheng Kao, Chi‐Cheng Huang
Software Mentions: 2
Published: over 4 years ago
10.1038/s41598-021-89434-7
Random forest-based prediction of stroke outcomeCited by: 31
Author(s): Carlos Fernández-Lozano, Pablo Hervella, Virginia Mato‐Abad, Manuel Rodríguez‐Yáñez, Sonia Suárez-Garaboa, Iria López‐Dequidt, Ana Estany‐Gestal, Tomás Sobrino, Francisco Campos, José Castillo, Santiago Rodríguez-Yáñez, Ramón Iglesias‐Rey
Software Mentions: 2
Published: over 3 years ago
10.7717/peerj-cs.287
Identification of predictive factors of the degree of adherence to the Mediterranean diet through machine-learning techniquesCited by: 3
Author(s): Alba Arceo-Vilas, Carlos Fernández-Lozano, Salvador Pita, Sonia Pértega-Díaz, Alejandro Pazos
Software Mentions: 2
Published: over 4 years ago
10.1186/s13007-020-00572-x
A high throughput method for quantifying number and size distribution of Arabidopsis seeds using large particle flow cytometryCited by: 6
Author(s): Arturo Morales, Juliane Teapal, J. M. H. Ammerlaan, Xinyou Yin, Jochem B. Evers, Niels P. R. Anten, Rashmi Sasidharan, Martijn van Zanten
Software Mentions: 2
Published: almost 5 years ago
10.3390/diagnostics11010085
Associations between Statin/Omega3 Usage and MRI-Based Radiomics Signatures in Prostate CancerCited by: 5
Author(s): Yu Shi, Ethan Wahle, Qian Du, Luke Krajewski, Xiaoying Liang, Sumin Zhou, Chi Zhang, Michael J. Baine, Dandan Zheng
Software Mentions: 2
Published: almost 4 years ago
10.1038/s41598-018-25235-9
Predicting drug resistance related to ABC transporters using unsupervised Consensus Self-Organizing MapsCited by: 6
Author(s): Roger Estrada‐Tejedor, Gerhard F. Ecker
Software Mentions: 2
Published: over 6 years ago
10.1371/journal.pone.0228037
Tinnitus-related distress after multimodal treatment can be characterized using a key subset of baseline variablesCited by: 16
Author(s): Uli Niemann, Benjamin Boecking, Petra Brüeggemann, Wilhelm Mebus, Birgit Mazurek, Myra Spiliopoulou
Software Mentions: 2
Published: almost 5 years ago