Predicting regulatory DNA elements based on epigenomic signatures
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Jul 17, 2018 - Python
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enhancer-prediction
Here are 6 public repositories matching this topic...
Identify transcription factor-enhancer/promoter-gene network from run-on sequencing data
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Aug 27, 2022 - R
Evaluation framework for computationally inferred gene networks from single-cell data.
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May 5, 2024 - Python
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Jan 28, 2019 - Jupyter Notebook
An R package designed to integrate and visualize various levels of epigenomic information, including but not limited to: ChIP, Histone, ATAC, and RNA sequencing. epiRomics is also designed to identify enhancer and enhanceosome regions from these data.
transcription-factors
rna-seq
data-visualization
epigenetics
chip-seq
histone
atac-seq
r-package
enhancer
transcription-factor-binding
ucsc-browser
regulatory-network
epigenomics
multi-omics
enhancer-prediction
chromatin-accessibiity
regulome-analysis
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Updated
Nov 18, 2023 - HTML
machine-learning
computational-biology
r-package
enhancer-prediction
xgboost-classifier
enhancer-gene
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Updated
Apr 23, 2024 - R
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