ChIPr: accurate prediction of cohesin-mediated 3D genome organization from 2D chromatin features
Abstract The three-dimensional genome organization influences diverse nuclear processes. Here we present Chromatin Interaction Predictor (ChIPr), a suite of regression models based on deep neural networks, random forest, and gradient boosting to predict cohesin-mediated chromatin interaction strengt...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2024-01-01
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| Series: | Genome Biology |
| Online Access: | https://doi.org/10.1186/s13059-023-03158-7 |