Functional Relationship Inference
Functional Relationship Inference is a computational method that identifies and characterizes the biological interactions between genes or proteins based on their shared functional annotations, genomic context, or co-expression patterns within a functional network.
259
Publications
25.8K
Citations
935
Authors
427
Institutions
Publications per year
2017–2026
64
259
Using GOstats to test gene lists for GO term association
Seth Falcon, Robert Gentleman · Bioinformatics · 2006 · 2.2K citations · Full text
Crop Yield Prediction Using Deep Neural Networks
Frontiers in Plant Science · 2019 · 795 citations · Full text
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Harvard University
Cambridge, United States
10 h-index
22 publications
1.8K citations
University of California, Berkeley
Berkeley, United States
7 h-index
16 publications
824 citations
Princeton University
Princeton, United States
7 h-index
16 publications
594 citations
University of Washington
Seattle, United States
6 h-index
8 publications
371 citations
University of California, Los Angeles
Los Angeles, United States
5 h-index
13 publications
2.4K citations
European Molecular Biology Laboratory
Hamburg, Germany
5 h-index
12 publications
16.5K citations

SIB Swiss Institute of Bioinformatics
Lausanne, Switzerland
5 h-index
7 publications
6.7K citations
Yonsei University
Seoul, South Korea
5 h-index
21 publications
1.1K citations
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20 publications · 4.7K citations
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21 publications · 3.7K citations
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15 publications · 1.2K citations
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13 publications · 954 citations
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5 publications · 282 citations
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