ArticlebioRxiv : the preprint server for biology2024
Deep learning identifies heterogeneous subpopulations in breast cancer cell lines.
Article in bioRxiv : the preprint server for biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Motivation: 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 Results: We demonstrate that cell morphology can reflect underlying transcriptomic differences
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