CorSig: A General Framework for Estimating Statistical Significance of Correlation and Its Application to Gene Co-Expression Analysis | Zendy

Hongqiang Wang | Zendy; ChungJui Tsai | Zendy

Open Access

CorSig: A General Framework for Estimating Statistical Significance of Correlation and Its Application to Gene Co-Expression Analysis

Author(s) -

Hongqiang Wang,

ChungJui Tsai

Publication year - 2013

Publication title -

plos one

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.99

H-Index - 332

ISSN - 1932-6203

DOI - 10.1371/journal.pone.0077429

Subject(s) - cutoff , false positive paradox , correlation , null hypothesis , multiple comparisons problem , statistical hypothesis testing , p value , pearson product moment correlation coefficient , statistical inference , inference , statistics , correlation coefficient , type i and type ii errors , false discovery rate , statistical power , computational biology , gene expression profiling , contingency table , computer science , mathematics , biology , gene , genetics , gene expression , artificial intelligence , physics , geometry , quantum mechanics

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