Transcriptome-phenotype Correlation Analysis
Transcriptome-Phenotype Correlation Analysis is a computational systems biology approach that identifies and quantifies associations between global gene expression profiles and observable phenotypic traits to infer functional genomic mechanisms underlying microbial physiological states.
114
Publications
5.3K
Citations
898
Authors
371
Institutions
Publications per year
2017–2026
65
114
Philipp Kickingereder, Felix Sahm, Alexander Radbruch et al. · Scientific Reports · 2015 · 319 citations · Full text
Medicine, Cancer Biology, Oncology +17
1–5 of 114
898
Nederlands Instituut Voor Zuivel Oonderzoek, Netherlands
2 publications · 48 citations
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2
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2
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2
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2
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1–5 of 898
371
Northwest A&F University
Yangling, China
4 h-index
23 publications
449 citations
University of Washington
Seattle, United States
4 h-index
12 publications
715 citations
University of Chinese Academy of Sciences
Beijing, China
4 h-index
12 publications
279 citations

Chinese Academy of Sciences
Beijing, China
4 h-index
25 publications
601 citations
Chinese Academy of Agricultural Sciences
Beijing, China
3 h-index
16 publications
740 citations

Shanghai Jiao Tong University
Shanghai, China
3 h-index
15 publications
475 citations

Karolinska Institutet
Stockholm, Sweden
3 h-index
10 publications
212 citations
Inserm
Paris, France
3 h-index
11 publications
550 citations
1–8 of 371
9 publications · 213 citations
9
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PNAS · 5 publications · 300 citations
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5 publications · 143 citations
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5 publications · 426 citations
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4 publications · 197 citations
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