Inferring upstream regulatory genes of FOXP3 in human regulatory T cells from time-series transcriptomic data
Abstract The discovery of upstream regulatory genes of a gene of interest still remains challenging. Here we applied a scalable computational method to unbiasedly predict candidate regulatory genes of critical transcription factors by searching the whole genome. We illustrated our approach with a ca...
| Published in: | npj Systems Biology and Applications |
|---|---|
| Main Authors: | , , , , , , , , , , |
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2024-05-01
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| Online Access: | https://doi.org/10.1038/s41540-024-00387-9 |
