Statistical analysis of multiple significance test methods for differential proteomics
Main Authors: | Rouchka Eric, Yin Xinmin, Zhang Jun, Mohammad Fahim, Wang Bing, Zhang Xiang |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2010-07-01
|
Series: | BMC Bioinformatics |
Similar Items
-
Multiple Testing in Proteomics
by: Afonso João Rodrigues dos Santos Castro Videira
Published: (2021) -
Testing statistical significance scores of sequence comparison methods with structure similarity
by: Leunissen Jack AM, et al.
Published: (2006-10-01) -
Enhanced differential expression statistics for data-independent acquisition proteomics
by: Tomi Suomi, et al.
Published: (2017-07-01) -
Choice of library size normalization and statistical methods for differential gene expression analysis in balanced two-group comparisons for RNA-seq studies
by: Xiaohong Li, et al.
Published: (2020-01-01) -
Spiked proteomic standard dataset for testing label-free quantitative software and statistical methods
by: Claire Ramus, et al.
Published: (2016-03-01)