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Deep reinforcement learning for diagnosing various types of cancer by TP53 mutation patterns

2021-07-30

Abstract excerpt

One of the key challenges for classifying multiple cancer types is the complexity of Tumor Protein p53 mutation patterns and its individual effects on tumors. However, far too little attention has been paid to Deep reinforcement Learning on TP53 mutation patterns because of its extremely difficult result interpretations. We introduce a critic network by a long-short term memory, which is appropriated for discrimin...

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Literature Corpus work
6688a1bb-29af-5675-9b0d-11a6f2344946
DOI
10.21203/rs.3.rs-744748/v1
Open publication

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Deep reinforcement learning for diagnosing various types of cancer by TP53 mutation patternsDOI 10.21203/rs.3.rs-744748/v1
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