Systems-Level Modeling is a computational framework that integrates multi-omics data to reconstruct and analyze comprehensive, dynamic representations of microbial cellular processes, distinguishing itself by capturing emergent properties and regulatory interactions across molecular layers within a holistic biological system.
631
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46.5K
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2.9K
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971
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2017–2026
155
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Publications
631
A pathology atlas of the human cancer transcriptome
Mathias Uhlén, Cheng Zhang, Sunjae Lee et al. · Science · 2017 · 3.5K citations · Full text
Medicine, Cancer Biology, Oncology +17
Choice Reviews Online · 1998 · 822 citations
1–5 of 631
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2.9K
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16
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12
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11
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11
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10
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971
University of Washington
Seattle, United States
18 h-index
60 publications
4.6K citations
Harvard University
Cambridge, United States
18 h-index
58 publications
7K citations
California Institute of Technology
Pasadena, United States
17 h-index
59 publications
21.4K citations
Heidelberg University
Heidelberg, Germany
15 h-index
42 publications
3.7K citations
University of California San Diego
San Diego, United States
14 h-index
59 publications
18.1K citations
Imperial College London
London, United Kingdom
13 h-index
52 publications
8.8K citations
Newcastle University
Newcastle upon Tyne, United Kingdom
13 h-index
30 publications
1.6K citations
European Bioinformatics Institute
Cambridge, United Kingdom
12 h-index
28 publications
1.8K citations
1–8 of 971
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- PLoS Computational Biology
27 publications · 2.2K citations
23
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- PLoS ONE
22 publications · 1.1K citations
19
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- Bioinformatics
22 publications · 5.8K citations
18
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- Proceedings of the National Academy of Sciences
PNAS · 17 publications · 3.2K citations
17
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- BMC Systems Biology
14 publications · 980 citations
13
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