Integrative Clustering
Integrative Clustering is a computational method that partitions multi-omic datasets into coherent subgroups by simultaneously accounting for interdependencies across distinct molecular data types to reveal biologically meaningful clusters not discernible from individual omics layers alone.
52
Publications
6.2K
Citations
282
Authors
136
Institutions
Publications per year
2017–2026
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University of Cambridge
Cambridge, United Kingdom
6 h-index
18 publications
1.7K citations
Memorial Sloan Kettering Cancer Center
New York, United States
5 h-index
7 publications
4.2K citations
University of Kansas Medical Center
Kansas City, United States
4 h-index
9 publications
535 citations
The University of Texas MD Anderson Cancer Center
Houston, United States
4 h-index
7 publications
780 citations
Tsinghua University
Beijing, China
3 h-index
9 publications
1.9K citations
Cambridge University Hospitals NHS Foundation Trust
Cambridge, United Kingdom
3 h-index
6 publications
713 citations
Addenbrooke's Hospital
Cambridge, United Kingdom
3 h-index
5 publications
661 citations
University of Wisconsin–Madison
Madison, United States
3 h-index
3 publications
899 citations
1–8 of 136
6 publications · 1.8K citations
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3 publications · 69 citations
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2 publications · 376 citations
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2 publications · 348 citations
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Repository · 2 publications · 61 citations
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