Correlation-based Co-expression Analysis
Correlation-Based Co-Expression Analysis is a gene co-expression analysis method that identifies functionally related genes by quantifying pairwise transcriptional similarity using correlation coefficients, such as Pearson or Spearman, to measure the strength and direction of their expression relationships across biological samples.
42
Publications
3.7K
Citations
230
Authors
124
Institutions
Publications per year
2017–2026
12
Parents
42
The functional landscape of mouse gene expression
Wen Zhang, Quaid Morris, Ofer Shai et al. · Journal of Biology · 2004 · 314 citations · Full text
The utility of protein and mRNA correlation
Samuel Payne · Trends in Biochemical Sciences · 2014 · 233 citations · Full text
1–5 of 42
230
2
h-index
Commonwealth Scientific and Industrial Research Organisation, Australia
2 publications · 449 citations
2
h-index
2
h-index
2
h-index
Chinese Academy of Medical Sciences & Peking Union Medical College, China
1 publications · 10 citations
1
h-index
1–5 of 230
124

Commonwealth Scientific and Industrial Research Organisation
Canberra, Australia
2 h-index
6 publications
1K citations

Indian Statistical Institute
Kolkata, India
2 h-index
3 publications
109 citations

Central South University
Changsha, China
2 h-index
5 publications
70 citations

Kyoto University
Kyoto, Japan
2 h-index
2 publications
136 citations

Chinese Academy of Medical Sciences & Peking Union Medical College
Beijing, China
1 h-index
8 publications
80 citations

Shaanxi Normal University
Xi'an, China
1 h-index
1 publications
14 citations
Physiotherapy New Zealand
Wellington, New Zealand
1 h-index
1 publications
76 citations

University of Rome Tor Vergata
Rome, Italy
1 h-index
3 publications
78 citations
1–8 of 124
5 publications · 549 citations
5
h-index
4 publications · 561 citations
4
h-index
3 publications · 115 citations
3
h-index
3 publications · 101 citations
3
h-index
3 publications · 98 citations
3
h-index
1–5