Assisted clustering of gene expression data using regulatory data from partially overlapping sets of individuals
Abstract Background As omics measurements profiled on different molecular layers are interconnected, integrative approaches that incorporate the regulatory effect from multi-level omics data are needed. When the multi-level omics data are from the same individuals, gene expression (GE) clusters can...
| Auteurs principaux: | , , , , |
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| Format: | Article |
| Langue: | English |
| Publié: |
BMC
2022-12-01
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| Collection: | BMC Genomics |
| Sujets: | |
| Accès en ligne: | https://doi.org/10.1186/s12864-022-09026-1 |