Gene Interaction Matrices
Gene Interaction Matrices is a computational framework that represents pairwise genetic interactions within a biological system by quantifying phenotypic deviations from expected combinatorial effects, organized in a matrix format where rows and columns correspond to genetic perturbations and matrix elements encode interaction strengths.
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4.1K
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261
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136
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2017–2026
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High-throughput, quantitative analyses of genetic interactions in E. coli
Athanasios Typas, Robert J. Nichols, Deborah A. Siegele et al. · Nature Methods · 2008 · 246 citations · Full text
HiCPlotter integrates genomic data with interaction matrices
Kadir C. Akdemir, Lynda Chin · Genome biology · 2015 · 241 citations · Full text
Enhancing Hi-C data resolution with deep convolutional neural network HiCPlus
Yan Zhang, Lin An, Jie Xu et al. · Nature Communications · 2018 · 204 citations · Full text
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Harvard University
Cambridge, United States
4 h-index
8 publications
397 citations

Pennsylvania State University
State College, United States
3 h-index
16 publications
4.9K citations
University of Pennsylvania
Philadelphia, United States
2 h-index
5 publications
92 citations
University of Washington
Seattle, United States
2 h-index
4 publications
1.4K citations

Institute for Systems Biology
Seattle, United States
2 h-index
9 publications
1.1K citations
QB3
San Francisco, United States
2 h-index
7 publications
1.5K citations

Harvard University Press
Cambridge, United States
2 h-index
5 publications
207 citations
National Institutes of Health
Bethesda, United States
2 h-index
9 publications
387 citations
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