Controlling false discoveries in high-dimensional situations: boosting with stability selection

A test for comparing two groups of samples when analyzing multiple omics profiles

(2014) Nimisha Chaturvedi et al.   BMC BIOINFORMATICS

Boosting the Concordance Index for Survival Data – A Unified Framework To Derive and Evaluate Biomarker Combinations

(2014) Andreas Mayr et al.   PLoS One

High-Dimensional Statistics with a View Toward Applications in Biology

(2014) Peter Bühlmann et al.   Annual Review of Statistics and Its Application

opm: an R package for analysing OmniLog(R) phenotype microarray data

(2013) L. A. I. Vaas et al.   BIOINFORMATICS

Stable graphical model estimation with Random Forests for discrete, continuous, and mixed variables

(2013) Bernd Fellinghauer et al.   COMPUTATIONAL STATISTICS & DATA ANALYSIS

Autism Spectrum Disorders

(2013) Patricia Manning-Courtney et al.   Current Problems in Pediatric and Adolescent Health Care

Decreased tryptophan metabolism in patients with autism spectrum disorders

(2013) Luigi Boccuto et al.   Molecular Autism

TIGRESS: Trustful Inference of Gene REgulation using Stability Selection

(2012) Anne-Claire Haury et al.   BMC Systems Biology

Model-based boosting in R: a hands-on tutorial using the R package mboost

(2012) Benjamin Hofner et al.   COMPUTATIONAL STATISTICS

Variable selection with error control: another look at stability selection

(2012) Rajen D. Shah et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY

The Importance of Knowing When to Stop

(2012) A. Mayr et al.   METHODS OF INFORMATION IN MEDICINE

Wisdom of crowds for robust gene network inference

(2012) Daniel Marbach et al.   NATURE METHODS

Visualization and Curve-Parameter Estimation Strategies for Efficient Exploration of Phenotype Microarray Kinetics

(2012) Lea A. I. Vaas et al.   PLoS One

A PAUC-based Estimation Technique for Disease Classification and Biomarker Selection

(2012) Matthias Schmid et al.   Statistical Applications in Genetics and Molecular Biology

MetaboLab - advanced NMR data processing and analysis for metabolomics

(2011) Christian Ludwig et al.   BMC BIOINFORMATICS

Monotonicity-constrained species distribution models

(2011) Benjamin Hofner et al.   ECOLOGY

A Framework for Unbiased Model Selection Based on Boosting

(2011) Benjamin Hofner et al.   JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS

Identifying Risk Factors for Severe Childhood Malnutrition by Boosting Additive Quantile Regression

(2011) Nora Fenske et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

A variable selection method for genome-wide association studies

(2010) Qianchuan He et al.   BIOINFORMATICS

Geoadditive expectile regression

(2010) Fabian Sobotka et al.   COMPUTATIONAL STATISTICS & DATA ANALYSIS

Decomposing environmental, spatial, and spatiotemporal components of species distributions

(2010) Torsten Hothorn et al.   ECOLOGICAL MONOGRAPHS

Stability selection

(2010) Nicolai Meinshausen et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY

Proteomics: a pragmatic perspective

(2010) Parag Mallick et al.   NATURE BIOTECHNOLOGY

Variable Selection and Model Choice in Geoadditive Regression Models

(2008) Thomas Kneib et al.   BIOMETRICS

Mining phenotypes for gene function prediction

(2008) Philip Groth et al.   BMC BIOINFORMATICS

Boosting additive models using component-wise P-Splines

(2008) Matthias Schmid et al.   COMPUTATIONAL STATISTICS & DATA ANALYSIS

Bootstrap model selection had similar performance for selecting authentic and noise variables compared to backward variable elimination: a simulation study

(2008) Peter C. Austin   JOURNAL OF CLINICAL EPIDEMIOLOGY

RNA-Seq: a revolutionary tool for transcriptomics

(2008) Zhong Wang et al.   NATURE REVIEWS GENETICS