Classification and Functional Analysis between Cancer and Normal Tissues Using Explainable Pathway Deep Learning through RNA-Sequencing Gene Expression

Classification and Functional Analysis between Cancer and Normal Tissues Using Explainable Pathway Deep Learning through RNA-Sequencing Gene Expression

Deep learning has proven advantageous in solving cancer diagnostic or classification problems. However, it cannot explain the rationale behind human decisions. Biological pathway databases provide well-studied relationships between genes and their pathways. As pathways comprise knowledge frameworks...

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Bibliographic Details
Main Authors: Sangick Park, Eunchong Huang, Taejin Ahn
Format: Article
Language:English
Published: MDPI AG 2021-10-01
Series:International Journal of Molecular Sciences
Subjects:
deep learning
neural networks
biological function
pathway
cancer gene expression
Online Access:https://www.mdpi.com/1422-0067/22/21/11531

Internet

https://www.mdpi.com/1422-0067/22/21/11531

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