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Gene mutation estimations via mutual information and Ewens sampling based CNN & machine learning algorithms.

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第一作者： Wanyang,Dai

第一单位： Department of Mathematics and State Key Laboratory of Novel Software Technology, Nanjing University, Nanjing, People's Republic of China.

作者： Wanyang,Dai ^[1]

作者单位： Department of Mathematics and State Key Laboratory of Novel Software Technology, Nanjing University, Nanjing, People's Republic of China. ^[1]

关键词 Ewens sampling Gene mutation rate convolutional neural network (CNN)machine learning multi-input multi-output (MIMO) mutual information stochastic gradient

DOI 10.1080/02664763.2025.2460076

PMID 40927349

发布时间 2026-02-04

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Journal of applied statistics

2025年52卷12期

2321-2353页

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Journal of applied statistics

2025年52卷12期

2321-2353页

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Gene mutation estimations via mutual information and Ewens sampling based CNN & machine learning algorithms.

Journal of applied statistics

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Gene mutation estimations via mutual information and Ewens sampling based CNN &amp; machine learning algorithms.

Journal of applied statistics

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Journal of applied statistics

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Gene mutation estimations via mutual information and Ewens sampling based CNN & machine learning algorithms.