Article

Predicting patient treatment response and resistance via single-cell transcriptomics of their tumors

2022-01-12

Abstract excerpt

Tailoring the best treatments to cancer patients is an important open challenge. Here, we build a precision oncology data science and software framework for PER sonalized single- C ell E xpression-based P lanning for T reatments In On cology (PERCEPTION). Our approach capitalizes on recently published matched bulk and single-cell transcriptome profiles of large-scale cell-line drug screens to build treatment...

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Literature Corpus work: ab17a9f3-c4c9-598f-8638-5af294dfe13e
DOI: 10.1101/2022.01.11.475728

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