D
David Steenhoff
Researcher at Vrije Universiteit Brussel
Publications - 8
Citations - 1017
David Steenhoff is an academic researcher from Vrije Universiteit Brussel. The author has contributed to research in topics: Bioconductor & Microarray databases. The author has an hindex of 6, co-authored 8 publications receiving 813 citations. Previous affiliations of David Steenhoff include VU University Amsterdam & Université libre de Bruxelles.
Papers
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Journal ArticleDOI
A Survey on Filter Techniques for Feature Selection in Gene Expression Microarray Analysis
Cosmin Lazar,Jonatan Taminau,Stijn Meganck,David Steenhoff,Alain Coletta,Colin Molter,V. de Schaetzen,Robin Duque,Hugues Bersini,Ann Nowé +9 more
TL;DR: This survey focuses on filter feature selection methods for informative feature discovery in gene expression microarray (GEM) analysis, which is also known as differentially expressed genes (DEGs) discovery, gene prioritization, or biomarker discovery, and presents them in a unified framework.
Journal ArticleDOI
Batch effect removal methods for microarray gene expression data integration: a survey
Cosmin Lazar,Stijn Meganck,Jonatan Taminau,David Steenhoff,Alain Coletta,Colin Molter,David Y. Weiss-Solis,Robin Duque,Hugues Bersini,Ann Nowé +9 more
TL;DR: Methods designed to combine genomic data recorded from microarray gene expression (MAGE) experiments are reviewed in a unified framework together with a wide range of evaluation tools, which are mandatory in assessing the efficiency and the quality of the data integration process.
Journal ArticleDOI
Unlocking the potential of publicly available microarray data using inSilicoDb and inSilicoMerging R/Bioconductor packages
Jonatan Taminau,Stijn Meganck,Cosmin Lazar,David Steenhoff,Alain Coletta,Colin Molter,Robin Duque,Virginie de Schaetzen,David Y. Weiss Solís,Hugues Bersini,Ann Nowé +10 more
TL;DR: The newly released inSilicoMerging R/Bioconductor package allows consistent retrieval, integration and analysis of publicly available microarray gene expression data sets and enables researchers to fully explore the potential of combining gene expressionData for downstream analysis.
Journal ArticleDOI
InSilico DB genomic datasets hub: an efficient starting point for analyzing genome-wide studies in GenePattern, Integrative Genomics Viewer, and R/Bioconductor
Alain Coletta,Colin Molter,Robin Duque,David Steenhoff,Jonatan Taminau,Virginie de Schaetzen,Stijn Meganck,Cosmin Lazar,David Venet,Vincent Detours,Ann Nowé,Hugues Bersini,David Y. Weiss Solís +12 more
TL;DR: This work proposes a web-based data storage hub that seamlessly connects genomics dataset repositories to state-of-the-art and free GUI and command-line data analysis tools, and is based on the InSilico DB platform, a powerful collaborative environment.
Journal ArticleDOI
inSilicoDb: an R/Bioconductor package for accessing human Affymetrix expert-curated datasets from GEO.
Jonatan Taminau,David Steenhoff,Alain Coletta,Stijn Meganck,Cosmin Lazar,Virginie de Schaetzen,Robin Duque,Colin Molter,Hugues Bersini,Ann Nowé,David Y. Weiss Solís +10 more
TL;DR: The inSilicoDb R/Bioconductor package is a command-line front-end to the InSilico DB, a web-based database currently containing 86 104 expert-curated human Affymetrix expression profiles compiled from 1937 GEO repository series.