Network-Based Interpretation of Diverse High-Throughput Datasets through the Omics Integrator Software Package

High-throughput, 'omic' methods provide sensitive measures of biological responses to perturbations. However, inherent biases in high-throughput assays make it difficult to interpret experiments in which more than one type of data is collected. In this work, we introduce Omics Integrator,...

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Bibliographic Details
Main Authors: Tuncbag, Nurcan (Contributor), Gosline, Sara Calafell (Contributor), Kedaigle, Amanda Joy (Contributor), Soltis, Anthony Robert (Contributor), Gitter, Anthony (Contributor), Fraenkel, Ernest (Contributor)
Other Authors: Massachusetts Institute of Technology. Computational and Systems Biology Program (Contributor), Massachusetts Institute of Technology. Department of Biological Engineering (Contributor)
Format: Article
Language:English
Published: Public Library of Science, 2017-05-05T23:20:19Z.
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