Transcriptome Classification
Transcriptome Classification is a computational framework that categorizes transcriptomic profiles into distinct biological or clinical states based on gene expression patterns, distinguishing itself from related analytical methods by its focus on systematic labeling of whole-transcriptome data for diagnostic, prognostic, or functional interpretation in cancer research.
335
Publications
32.8K
Citations
2.3K
Authors
895
Institutions
Publications per year
2017–2026
160
Parents
335
Arindam Bhattacharjee, William G. Richards, Jane Staunton et al. · Proceedings of the National Academy of Sciences · 2001 · 2.6K citations · Full text
Classification and prediction of survival in hepatocellular carcinoma by gene expression profiling
Ju‐Seog Lee, In‐Sun Chu, Jeonghoon Heo et al. · Hepatology · 2004 · 920 citations · Full text
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Chinese Academy of Sciences
Beijing, China
8 h-index
39 publications
3.5K citations
Inserm
Paris, France
8 h-index
41 publications
12.5K citations
Harvard University
Cambridge, United States
7 h-index
19 publications
6.1K citations

Centre National de la Recherche Scientifique
Paris, France
6 h-index
38 publications
2.6K citations
University of Chinese Academy of Sciences
Beijing, China
6 h-index
19 publications
2K citations
University of California, Los Angeles
Los Angeles, United States
5 h-index
13 publications
512 citations
University of Washington
Seattle, United States
5 h-index
8 publications
6.2K citations
Yale University
New Haven, United States
5 h-index
18 publications
2.1K citations
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22 publications · 1.2K citations
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14 publications · 734 citations
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14 publications · 1.2K citations
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11 publications · 4.1K citations
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10 publications · 565 citations
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