Generative network model of transcriptome patterns in disease cohorts with tunable signal strength
Algorithmic methods for interpreting the collective transcriptome (gene expression) patterns of disease cohorts in the context of biological networks are a cornerstone of systems medicine. The calibration of these algorithms using synthetic data with predefined statistical properties can be a releva...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
American Physical Society
2020-07-01
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| Series: | Physical Review Research |
| Online Access: | http://doi.org/10.1103/PhysRevResearch.2.033130 |