Functional and embedding feature analysis for pan-cancer classification

Functional and embedding feature analysis for pan-cancer classification

With the increasing number of people suffering from cancer, this illness has become a major health problem worldwide. Exploring the biological functions and signaling pathways of carcinogenesis is essential for cancer detection and research. In this study, a mutation dataset for eleven cancer types...

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Bibliographic Details
Main Authors: Jian Lu, JiaRui Li, Jingxin Ren, Shijian Ding, Zhenbing Zeng, Tao Huang, Yu-Dong Cai
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-09-01
Series:Frontiers in Oncology
Subjects:
pan-cancer
cancer mutation
enrichment
embedding
feature selection
rule learning
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2022.979336/full

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