Deep learning exploration of single-cell and spatially resolved cancer transcriptomics to unravel tu...
Deep learning exploration of single-cell and spatially resolved cancer transcriptomics to unravel tumour heterogeneity
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Publisher
United States: Elsevier Ltd
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Language
English
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Publisher
United States: Elsevier Ltd
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AbstractTumour heterogeneity is one of the critical confounding aspects in decoding tumour growth. Malignant cells display variations in their gene transcription profiles and mutation spectra even when originating from a single progenitor cell. Single-cell and spatial transcriptomics sequencing have recently emerged as key technologies for unravell...
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Full title
Deep learning exploration of single-cell and spatially resolved cancer transcriptomics to unravel tumour heterogeneity
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TN_cdi_proquest_miscellaneous_2854435584
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_2854435584
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ISSN
0010-4825
E-ISSN
1879-0534
DOI
10.1016/j.compbiomed.2023.107274
