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...
| 主要な著者: | , , , , |
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| フォーマット: | 論文 |
| 言語: | English |
| 出版事項: |
BMC
2022-12-01
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| シリーズ: | BMC Genomics |
| 主題: | |
| オンライン･アクセス: | https://doi.org/10.1186/s12864-022-09026-1 |