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Article

Biologically relevant integration of transcriptomics profiles from cancer cell lines, patient-derived xenografts and clinical tumors using deep learning

2022-09-09

Abstract excerpt

Cell lines and patient-derived xenografts are essential to cancer research, however, the results derived from such models often lack clinical translatability, as these models do not fully recapitulate the complex cancer biology. It is critically important to better understand the systematic differences between cell lines, xenografts and clinical tumors, and to be able to identify pre-clinical models that sufficien...

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Literature Corpus work
03e4ba50-fc17-58cf-953a-d1716623e407
DOI
10.1101/2022.09.07.506964
Open publication

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Biologically relevant integration of transcriptomics profiles from cancer cell lines, patient-derived xenografts and clinical tumors using deep learningDOI 10.1101/2022.09.07.506964
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