SAMNetWeb: identifying condition-specific networks linking signaling and transcription
Motivation: High-throughput datasets such as genetic screens, mRNA expression assays and global phospho-proteomic experiments are often difficult to interpret due to inherent noise in each experimental system. Computational tools have improved interpretation of these datasets by enabling the identif...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Article |
| Language: | en_US |
| Published: |
Oxford University Press
2017
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| Online Access: | http://hdl.handle.net/1721.1/108517 https://orcid.org/0000-0001-9249-8181 https://orcid.org/0000-0002-6534-4774 |