GEOlimma: differential expression analysis and feature selection using pre-existing microarray data

GEOlimma: differential expression analysis and feature selection using pre-existing microarray data

Abstract Background Differential expression and feature selection analyses are essential steps for the development of accurate diagnostic/prognostic classifiers of complicated human diseases using transcriptomics data. These steps are particularly challenging due to the curse of dimensionality and t...

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Bibliographic Details
Main Authors: Liangqun Lu, Kevin A. Townsend, Bernie J. Daigle
Format: Article
Language:English
Published: BMC 2021-02-01
Series:BMC Bioinformatics
Subjects:
GEOlimma
Differential expression
DE prior probabilities
Feature selection
Supervised classification
Online Access:https://doi.org/10.1186/s12859-020-03932-5

Internet

https://doi.org/10.1186/s12859-020-03932-5

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