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Application of machine learning (ML) / deep learning (DL) using multiple epigenetic features reveals H3K27Ac as driver of gene expression prediction across patients with glioblastoma [ChIP-Seq]

GSE296944 Homo sapiens Genome binding/occupancy profiling by high throughput sequencing 7 samples Submitted 2025/07/24 Platform GPL18573
Summary
To investigate the contribution of multi epigenetic features on gene expression across glioblastoma patients
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Direct links to NCBI, no account and no request form: the whole study as GSE296944_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 7 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA1261972 and SRA study SRP584749. Searching any of these in the dataset finder brings you back here.

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