Rank-based classifiers for extremely high-dimensional gene expression data

DOI10.1007/s11634-016-0277-3zbMath1416.62608OpenAlexW2565649021MaRDI QIDQ1630848

Adalbert F. X. Wilhelm, Lyn-Rouven Schirra, Florian Schmid, Ludwig Lausser, Hans A. Kestler

Publication date: 5 December 2018

Published in: Advances in Data Analysis and Classification. ADAC (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11634-016-0277-3

zbMATH Keywords

invariancehigh-dimensional datagene expression datarank-based classification

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to biology and medical sciences; meta analysis (62P10) Learning and adaptive systems in artificial intelligence (68T05)

Related Items (1)

Chained correlations for feature selection

Uses Software

• LIBLINEAR
• fRMA
• PRMLT

Cites Work

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• 10.1162/153244303322753616
• Exploration, normalization, and summaries of high density oligonucleotide array probe level data
• Random forests

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