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, a software...
| Main Authors: | , , , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | en_US |
| Published: |
Public Library of Science
2017
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| Online Access: | http://hdl.handle.net/1721.1/108717 https://orcid.org/0000-0002-6534-4774 https://orcid.org/0000-0001-6156-5046 https://orcid.org/0000-0002-5324-9833 https://orcid.org/0000-0001-9249-8181 |