A constraint optimization framework for discovery of cellular signaling and regulatory networks by Huang, Shao-shan Carol

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Integration of Proteomic, Transcriptional, and Interactome Data Reveals Hidden Signaling Components by Huang, Shao-shan Carol, Fraenkel, Ernest

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Swimming Upstream: Identifying Proteomic Signals that Drive Transcriptional Changes using the Interactome and Multiple “-Omics” Datasets by Huang, Shao-shan Carol, Fraenkel, Ernest

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SteinerNet: a web server for integrating ‘omic’ data to discover hidden components of response pathways by Tuncbag, Nurcan, McCallum, Scott, Huang, Shao-shan Carol, Fraenkel, Ernest

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Simultaneous Reconstruction of Multiple Signaling Pathways via the Prize-Collecting Steiner Forest Problem by Tuncbag, Nurcan, Braunstein, Alfredo, Pagnani, Andrea, Huang, Shao-Shan Carol, Chayes, Jennifer, Borgs, Christian, Zecchina, Riccardo, Fraenkel, Ernest, Tuncbag, Nurcan, Huang, Shao-Shan Carol, Fraenkel, Ernest

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Network modeling of kinase inhibitor polypharmacology reveals pathways targeted in chemical screens by Beeharry, Neil, Fink, Lauren, Bhattacharjee, Vikram, Huang, Shao-shan Carol, Zhou, Yan, Yen, Tim, Ursu, Oana, Gosline, Sara Calafell, Fraenkel, Ernest

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Linking Proteomic and Transcriptional Data through the Interactome and Epigenome Reveals a Map of Oncogene-induced Signaling by Huang, Shao-shan Carol, Clarke, David C., Gosline, Sara Jane Calafell, Labadorf, Adam, Chouinard, Candace R., Gordon, William, Lauffenburger, Douglas A., Fraenkel, Ernest

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