Title
Identifying Differentially Expressed Genes based on probe level data for GeneChip arrays.
Abstract
We propose a new method based on probe-level data (PLIDEG) to filter differentially expressed genes from non-differentially expressed genes. We compare this new method with others based on expression values by using two spikein data sets. With the extra information provided by probe level data, PLIDEG not only controls type I error, but also increases the power of detecting DEGs, simultaneously. Therefore, PLIDEG can efficiently separate DEGs and non-DEGs without requiring the estimation of the number of non-DEGs. Based on theoretical analysis and results from application to real microarray data, we confirm these good features of this new method.
Year
DOI
Venue
2010
10.1504/IJCBDD.2010.038028
Int. J. Comput. Biol. Drug Des.
Keywords
Field
DocType
gene expression,sam,gene selection,microarray data,false discovery rate
False discovery rate,Data set,Gene selection,Gene,Biology,Gene expression,Microarray analysis techniques,Gene chip analysis,Bioinformatics,Type I and type II errors
Journal
Volume
Issue
ISSN
3
3
1756-0756
Citations 
PageRank 
References 
0
0.34
0
Authors
7
Name
Order
Citations
PageRank
Zhongxue Chen124415.77
Monnie McGee2202.61
Qingzhong Liu358844.77
Y Megan Kong4172.06
Xudong Huang500.34
Jack Y. Yang6902175.51
Richard H. Scheuermann725823.91