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: mboost
https://packages.ecosyste.ms/registries/cran.r-project.org/packages/mboost
Model-Based Boosting
72 versions
Latest release: about 1 year ago
35 dependent packages
5,073 downloads last month
Papers Mentioning mboost 32
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/fmicb.2020.01391
Stochastic Dispersal Rather Than Deterministic Selection Explains the Spatio-Temporal Distribution of Soil Bacteria in a Temperate GrasslandCited by: 31
Author(s): Tim Richter-Heitmann, Benjamin Hofner, Franz‐Sebastian Krah, Johannes Sikorski, Pia K. Wüst, Boyke Bunk, Sixing Huang, Kathleen M. Regan, Doreen Berner, Runa S. Boeddinghaus, Sven Marhan, Daniel Prati, Ellen Kandeler, Jörg Overmann, Michael W. Friedrich
Software Mentions: 11
Published: over 4 years ago
10.1186/s12859-016-1149-8
Boosting the discriminatory power of sparse survival models via optimization of the concordance index and stability selectionCited by: 27
Author(s): Andreas Mayr, Benjamin Hofner, Matthias Schmid
Software Mentions: 9
Published: over 8 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 subjectsCited 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
10.1002/bimj.201500234
Identification of biomarker-by-treatment interactions in randomized clinical trials with survival outcomes and high-dimensional spacesCited by: 24
Author(s): Nils Ternès, Federico Rotolo, Georg Heinze, Stefan Michiels
Software Mentions: 7
Published: about 8 years ago
10.3389/fped.2021.711104
Early Prediction of Multiple Organ Dysfunction in the Pediatric Intensive Care UnitCited 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
10.1155/2017/6083072
An Update on Statistical Boosting in BiomedicineCited by: 24
Author(s): Andreas Mayr, Benjamin Hofner, Elisabeth Waldmann, Tobias Hepp, Sebastian Meyer, Olaf Gefeller
Software Mentions: 6
Published: almost 8 years ago
10.1371/journal.pone.0254178
Addressing cluster-constant covariates in mixed effects models via likelihood-based boosting techniquesCited by: 3
Author(s): Colin Griesbach, Andreas Groll, Elisabeth Bergherr
Software Mentions: 6
Published: over 3 years ago
10.1186/1471-2105-11-78
Testing the additional predictive value of high-dimensional molecular dataCited by: 34
Author(s): Anne‐Laure Boulesteix, Torsten Hothorn
Software Mentions: 5
Published: almost 15 years ago
10.1186/1471-2105-9-30
SignS: a parallelized, open-source, freely available, web-based tool for gene selection and molecular signatures for survival and censored dataCited by: 10
Author(s): Ramón Díaz‐Uriarte
Software Mentions: 4
Published: almost 17 years ago
10.1155/2017/1421409
Probing for Sparse and Fast Variable Selection with Model-Based BoostingCited by: 23
Author(s): Janek Thomas, Tobias Hepp, Andreas Mayr, Bernd Bischl
Software Mentions: 4
Published: almost 8 years ago
10.1371/journal.pbio.3000633
Mapping trends in insecticide resistance phenotypes in African malaria vectorsCited by: 80
Author(s): Penelope A. Hancock, Chantal Hendriks, Julie Anne A. Tangena, Harry S. Gibson, Janet Hemingway, Michael Coleman, Peter W. Gething, Ewan Cameron, Samir Bhatt, Catherine L. Moyes
Software Mentions: 4
Published: over 4 years ago
10.1186/s40001-017-0270-0
Using automated texture features to determine the probability for masking of a tumor on mammography, but not ultrasoundCited by: 5
Author(s): Lothar Häberle, Carolin C. Hack, Katharina Heusinger, Florian Wagner, Sebastian M. Jud, Michael Uder, Matthias W. Beckmann, Rüdiger Schulz‐Wendtland, Thomas Wittenberg, Peter A. Fasching
Software Mentions: 4
Published: about 7 years ago
10.1371/journal.pone.0061623
Boosted Beta RegressionCited by: 45
Author(s): Matthias Schmid, Florian Wickler, Kelly O. Maloney, Richard M. Mitchell, Nora Fenske, Andreas Mayr
Software Mentions: 4
Published: over 11 years ago
10.1371/journal.pcbi.1002606
Microbial Co-occurrence Relationships in the Human MicrobiomeCited by: 1,167
Author(s): Karoline Faust, J. Fah Sathirapongsasuti, Jacques Izard, Nicola Segata, Dirk Gevers, Jeroen Raes, Curtis Huttenhower
Software Mentions: 3
Published: over 12 years ago
10.3389/fnbot.2013.00021
Gradient boosting machines, a tutorialCited by: 1,296
Author(s): Alexey Natekin, Alois Knoll
Software Mentions: 3
Published: almost 12 years ago
10.5808/GI.2019.17.4.e41
Review of statistical methods for survival analysis using genomic dataCited by: 40
Author(s): Seungyeoun Lee, Heeju Lim
Software Mentions: 3
Published: almost 5 years ago
10.1186/s12859-015-0575-3
Controlling false discoveries in high-dimensional situations: boosting with stability selectionCited by: 98
Author(s): Benjamin Hofner, Luigi Boccuto, Markus Göker
Software Mentions: 2
Published: over 9 years ago
10.1186/s12874-019-0802-0
A plea for taking all available clinical information into account when assessing the predictive value of omics dataCited by: 10
Author(s): Alexander Volkmann, Riccardo De Bin, Willi Sauerbrei, Anne‐Laure Boulesteix
Software Mentions: 2
Published: over 5 years ago
10.1186/s13071-015-1222-6
Environmental and anthropogenic factors affecting the probability of occurrence of Oncomegas wageneri (Cestoda: Trypanorhyncha) in the southern Gulf of MexicoCited by: 10
Author(s): Víctor M. Vidal‐Martínez, Edgar Tórres-Irineo, David Romero, Gerardo Gold-Bouchot, Enrique Martínez‐Meyer, David Valdés-Lozano, M. Leopoldina Aguirre-Macedo
Software Mentions: 2
Published: almost 9 years ago
10.1371/journal.pone.0084483
Boosting the Concordance Index for Survival Data – A Unified Framework To Derive and Evaluate Biomarker CombinationsCited by: 91
Author(s): Andreas Mayr, Matthias Schmid
Software Mentions: 2
Published: almost 11 years ago
10.1155/2017/6742763
Pathway-Based Kernel Boosting for the Analysis of Genome-Wide Association StudiesCited by: 5
Author(s): Stefanie Friedrichs, Juliane Manitz, Patricia Burger, Christopher I. Amos, Angela Risch, Jenny Chang–Claude, Heinz‐Erich Wichmann, Thomas Kneib, Heike Bickeböller, Benjamin Hofner
Software Mentions: 2
Published: almost 8 years ago
10.1002/ece3.4738
Modeling spatiotemporal abundance of mobile wildlife in highly variable environments using boosted GAMLSS hurdle modelsCited by: 13
Author(s): Adam D. Smith, Benjamin Hofner, Juliet S. Lamb, Jason E. Osenkowski, Thomas C. Allison, Giancarlo Sadoti, Scott R. McWilliams, Peter W. C. Paton
Software Mentions: 2
Published: almost 6 years ago
10.1038/s41598-019-51910-6
Using phenotypic distribution models to predict livestock performanceCited by: 10
Author(s): María Lozano-Jaramillo, Setegn Worku Alemu, Tadelle Dessie, Hans Komen, J.W.M. Bastiaansen
Software Mentions: 2
Published: about 5 years ago
10.3389/fnbeh.2018.00089
Genetic and Psychosocial Predictors of Aggression: Variable Selection and Model Building With Component-Wise Gradient BoostingCited by: 11
Author(s): Robert Suchting, Joshua L. Gowin, Charles E. Green, Consuelo Walss‐Bass, Scott D. Lane
Software Mentions: 1
Published: over 6 years ago
10.3390/ijerph17186873
Predicting Daily Sheltering Arrangements among Youth Experiencing Homelessness Using Diary Measurements Collected by Ecological Momentary AssessmentCited by: 8
Author(s): Robert Suchting, Michael S. Businelle, Stephen W. Hwang, Nikhil Padhye, Yiping Yang, Diane Santa Maria
Software Mentions: 1
Published: about 4 years ago
10.3390/cancers11060744
False Discovery Rate Control in Cancer Biomarker Selection Using KnockoffsCited by: 15
Author(s): Arlina Shen, Han Fu, Kevin He, Hui Jiang
Software Mentions: 1
Published: over 5 years ago
10.1371/journal.pone.0078692
Understanding Child Stunting in India: A Comprehensive Analysis of Socio-Economic, Nutritional and Environmental Determinants Using Additive Quantile RegressionCited by: 137
Author(s): Nora Fenske, Jacob Burns, Torsten Hothorn, Eva Rehfuess
Software Mentions: 1
Published: about 11 years ago
10.1186/1471-2288-12-6
Prediction intervals for future BMI values of individual children - a non-parametric approach by quantile boostingCited by: 33
Author(s): Andreas Mayr, Torsten Hothorn, Nora Fenske
Software Mentions: 1
Published: almost 13 years ago
10.1038/s41598-019-38971-3
Defining Optimal Soybean Sowing Dates across the USCited by: 36
Author(s): Spyridon Mourtzinis, James E. Specht, Shawn P. Conley
Software Mentions: 1
Published: over 5 years ago
10.1186/1471-2105-9-269
Flexible boosting of accelerated failure time modelsCited by: 55
Author(s): Matthias Schmid, Torsten Hothorn
Software Mentions: 1
Published: over 16 years ago
10.1289/ehp.1307139
Differences in BMI <i>z</i> -Scores between Offspring of Smoking and Nonsmoking Mothers: A Longitudinal Study of German Children from Birth through 14 Years of AgeCited by: 24
Author(s): Christina Riedel, Nora Fenske, Manfred J. Müller, Sandra Plachta-Danielzik, Thomas Keil, Linus Grabenhenrich, Rüdiger von Kries
Software Mentions: 1
Published: over 10 years ago