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A benchmarking of deep neural network models for cancer subtyping using single point mutations

2022-07-24

Abstract excerpt

It is now well-known that genetic mutations contribute to development of tumors, in which at least 15% of cancer patients experience a causative genetic abnormality including De Novo somatic point mutations. This highlights the importance of identifying responsible mutations and the associated biomarkers (e.g., genes) for early detection in high-risk cancer patients. The next-generation sequencing technologies ha...

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Literature Corpus work
79bf8430-7fe5-5068-ba2a-995b3d80c68b
DOI
10.1101/2022.07.24.501264
Open publication

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A benchmarking of deep neural network models for cancer subtyping using single point mutationsDOI 10.1101/2022.07.24.501264
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