Dimensionality Reduction Interpretation
Dimensionality Reduction Interpretation is a computational methodology within multi-omics data analysis that reduces the number of random variables under consideration while preserving biologically meaningful patterns, thereby enabling the interpretation of high-dimensional datasets through simplified, lower-dimensional representations.
55
Publications
3.2K
Citations
193
Authors
120
Institutions
Publications per year
2017–2026
25
Parents
55
Empirical Orthogonal Functions: The Medium is the Message
Adam H. Monahan, John C. Fyfe, Maarten H. P. Ambaum et al. · Journal of Climate · 2009 · 323 citations · Full text
Extensions to gene set enrichment
Zhen Jiang, Robert Gentleman · Bioinformatics · 2006 · 229 citations · Full text
1–5 of 55
193
2
h-index
2
h-index
2
h-index
2
h-index
2
h-index
1–5 of 193
120
Massachusetts Institute of Technology
Cambridge, United States
3 h-index
8 publications
199 citations
Carnegie Mellon University
Pittsburgh, United States
2 h-index
8 publications
648 citations
University of California, Davis
Davis, United States
2 h-index
6 publications
285 citations
University of Potsdam
Potsdam, Germany
2 h-index
5 publications
501 citations
University of Illinois Urbana-Champaign
Urbana, United States
2 h-index
3 publications
180 citations

Centre National de la Recherche Scientifique
Paris, France
2 h-index
5 publications
84 citations
University of California, Berkeley
Berkeley, United States
2 h-index
4 publications
263 citations

University of Minnesota
Minneapolis, United States
2 h-index
2 publications
290 citations
1–8 of 120
PNAS · 4 publications · 292 citations
4
h-index
Repository · 3 publications · 220 citations
3
h-index
3 publications · 301 citations
3
h-index
2 publications · 290 citations
2
h-index
2 publications · 64 citations
2
h-index
1–5