DegPack

A non-parametric and information theoretical approach for identifying differentially expressed genes (DEGs). DegPack identified DEGs effectively and it is shown less sensitive to outliers in two data sets: a three-class drought resistant rice data set and a three-class breast cancer data set. In extensive experiments with simulated and real data, this method was shown to outperform existing tools in terms of accuracy of characterizing phenotypes using DEGs.

DegPack specifications

Web

Information

Unique identifier	OMICS_04842
Name	DegPack
Interface	Web user interface
Restrictions to use	None
Computer skills	Basic
Stability	Stable
Maintained	Yes

Publication for DegPack

DegPack: a web package using a non-parametric and information theoretic algorithm to identify differentially expressed genes in multiclass RNA-seq samples.

2014 Methods

PMID: 24981074

DegPack institution(s)

Department of Computer Science and Engineering, Seoul National University, Seoul, Korea; Bioinformatics Institute, Seoul National University, Seoul, Korea; Department of Computer Science, School of Informatics and Computing, Indiana University, Bloomington, IN, USA

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