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ChromGene: gene-based modeling of epigenomic data

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 06 Aug 2023 English Publisher:Zenodo
Authors: Jaroszewicz, Artur; Ernst, Jason;

doi: 10.5281/zenodo.8218305 , 10.5281/zenodo.8245137 , 10.5281/zenodo.8218275

ChromGene: gene-based modeling of epigenomic data

Abstract

Software for ChromGene in two files: - generate_chromgene_input_files.py: Generates binary input files for training in ChromHMM - chromgene_posteriors_to_components.py: Takes posterior probability files generated by ChromHMM and produces gene-level component assignments Trained model - model_37.txt Additional files: - Additional File 1.docx: Supplementary figures - Additional File 2.xlsx: ChromGene descriptions and statistics - Additional File 3.xlsx: ChromGene assignments (xlsx) ChromGene assignments (txt) - chromgene_assts_by_celltype_name.hg19.tsv.gz - chromgene_assts_by_celltype_name.hg38.tsv.gz - chromgene_assts_by_eid.hg19.tsv.gz - chromgene_assts_by_eid.hg38.tsv.gz

Related Organizations
Keywords

machine learning, chromhmm, epigenetics, epigenomics, genomics, chromatin

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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