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LSTM neural network for pan-cancer classification & marker gene discovery by symmetrical occlusion method

2023-06-15

Abstract excerpt

RNA-Seq has been widely used for capturing the transcriptome profile of clinical samples. The quantitative measurement of RNA expression level provided by RNA-Seq is an ideal replacement for conventional cancer diagnosis of microscope examination with a more sensitive & automated approach. Accurate classification of the status and the tissue of origin of a clinical sample is crucial for the cancer diagnosis and he...

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Literature Corpus work
62bcf274-d354-57f2-b999-a895079212ed
DOI
10.21203/rs.3.rs-3052096/v1
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LSTM neural network for pan-cancer classification & marker gene discovery by symmetrical occlusion methodDOI 10.21203/rs.3.rs-3052096/v1
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