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MnM: a machine learning approach to detect replication states and genomic subpopulations for single-cell DNA replication timing disentanglement

2023-12-26

Abstract excerpt

<h4>ABSTRACT</h4> We introduce MnM, an efficient tool for characterising single-cell DNA replication states and revealing genomic subpopulations in heterogeneous samples, notably cancers. MnM uses single-cell copy-number data to accurately perform missing-value imputation, classify cell replication states and detect genomic heterogeneity, which allows to separate somatic copy-number alterations from copy-number v...

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Literature Corpus work
4cfe31ba-c9f5-5c99-a31f-bd07736197da
DOI
10.1101/2023.12.26.573369
Open publication

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MnM: a machine learning approach to detect replication states and genomic subpopulations for single-cell DNA replication timing disentanglementDOI 10.1101/2023.12.26.573369
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