Passing Messages between Biological Networks to Refine Predicted Interactions

Open Access

Peer-reviewed

Research Article

Kimberly Glass,

Affiliations Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, Massachusetts, United States of America, Department of Biostatistics, Harvard School of Public Health, Boston, Massachusetts, United States of America
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Curtis Huttenhower,

Affiliation Department of Biostatistics, Harvard School of Public Health, Boston, Massachusetts, United States of America
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John Quackenbush,

Affiliations Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, Massachusetts, United States of America, Department of Biostatistics, Harvard School of Public Health, Boston, Massachusetts, United States of America
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Guo-Cheng Yuan

* E-mail: gcyuan@jimmy.harvard.edu

Affiliations Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, Massachusetts, United States of America, Department of Biostatistics, Harvard School of Public Health, Boston, Massachusetts, United States of America
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Genetic networks
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Network motifs
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Protein interaction networks
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Gene regulation
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Gene regulatory networks
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Cellular stress responses
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Gene expression
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Network analysis
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