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Mutational Analysis and Deep Learning Classification of Uterine and Cervical Cancers

2022-10-14

Abstract excerpt

<h4>ABSTRACT</h4> We analyzed tumor mutations of 7 uterine and 2 cervical cancers with the goal of developing a Deep Learning (DL) software tool that can automatically classify tumors based on their somatic mutations. The data were obtained from the AACR Genie Project [1], that has a collection of more than 120,000 tumor samples for more than 750 cancer types. We performed a thorough analysis of the mutational da...

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Literature Corpus work
3afadea0-e985-50b7-a2c7-b7a5b8dcfe31
DOI
10.1101/2022.10.12.511895
Open publication

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Mutational Analysis and Deep Learning Classification of Uterine and Cervical CancersDOI 10.1101/2022.10.12.511895
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