Article

Learning quality scores for chromatin accessibility bigWig tracks using Machine Learning

2026-06-07

Abstract excerpt

High-throughput chromatin accessibility assays such as bulk and single-cell ATAC-seq have generated large collections of processed signal tracks in bigWig format, which are widely used for visualisation, data integration, and Machine Learning (ML)–based analyses. Despite their central role, systematic quality control (QC) frameworks operating directly at the level of bigWig signal tracks remain underdeveloped. Thi...

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Literature Corpus work: 195cee28-ab88-511e-88c8-797fe6e89356
DOI: 10.64898/2026.06.05.730303

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