Title
Super-delta: a new differential gene expression analysis procedure with robust data normalization.
Abstract
As a new pipeline, super-delta provides new insights to the area of differential gene expression analysis. Solid theoretical foundation supports its asymptotic unbiasedness and technical noise-free properties. Implementation on real and simulated datasets demonstrates its decent performance compared with state-of-art procedures. It also has the potential of expansion to be incorporated with other data type and/or more general between-group comparison problems.
Year
DOI
Venue
2017
10.1186/s12859-017-1992-2
BMC Bioinformatics
Keywords
Field
DocType
Differential expression analysis,Gene expression,Modified t-test,Robust normalization,Super-delta
Normalization (statistics),Biology,Multivariate statistics,Algorithm,Outlier,Robust statistics,Type I and type II errors,Genetics,Statistical power,Variance reduction,Statistical hypothesis testing
Journal
Volume
Issue
ISSN
18
1
1471-2105
Citations 
PageRank 
References 
1
0.48
11
Authors
3
Name
Order
Citations
PageRank
Yuhang Liu121.17
Jinfeng Zhang28610.11
Xing Qiu319312.55