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Deep learning identifies heterogeneous subpopulations in breast cancer cell lines

2024-07-04

Abstract excerpt

<h4>Motivation</h4> Cells exhibit a wide array of morphological features, enabling computer vision methods to identify and track relevant parameters. Morphological analysis has long been implemented to identify specific cell types and cell responses. Here we asked whether morphological features might also be used to classify transcriptomic subpopulations within in vitro cancer cell lines. Identifying cell subpop...

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Literature Corpus work
9807ee2f-93b1-5aac-bc19-1b6cbfabaa6b
DOI
10.1101/2024.07.02.601576
Open publication

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Deep learning identifies heterogeneous subpopulations in breast cancer cell linesDOI 10.1101/2024.07.02.601576
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