Predicting transcription factor binding using ensemble random forest models [version 2; peer review: 2 approved]
Background: Understanding the location and cell-type specific binding of Transcription Factors (TFs) is important in the study of gene regulation. Computational prediction of TF binding sites is challenging, because TFs often bind only to short DNA motifs and cell-type specific co-factors may work t...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
F1000 Research Ltd
2019-09-01
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| Series: | F1000Research |
| Online Access: | https://f1000research.com/articles/7-1603/v2 |