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Geometry based gene expression signatures detect cancer treatment responders in clinical trials

2024-07-03

Abstract excerpt

<h4>A bstract </h4> <h4>Aim</h4> The overall aim of this project is to determine if gene expression signatures of tumors, constructed from geometrical attributes of data, can be used to both create a definitive classification of responders and non-responders, and to predict patient treatment response in an unbiased manner. This is tested in an open-sourced Pfizer clinical trial data on avelumab plus axitnib in a...

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Identifiers and source

Literature Corpus work
93353b20-1c45-5283-99d6-d9c75a498c3c
DOI
10.1101/2024.07.01.24309803
Open publication

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Geometry based gene expression signatures detect cancer treatment responders in clinical trialsDOI 10.1101/2024.07.01.24309803
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