MFDSMC: Accurate Identification of Cancer-Driver Synonymous Mutations Using Multiperspective Feature Representation Learning-Reference-Cited by-同舟云学术

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MFDSMC: Accurate Identification of Cancer-Driver Synonymous Mutations Using Multiperspective Feature Representation Learning

Published:2025-06-06 Issue:12 Volume:65 Page:6382-6396
ISSN:1549-9596
Container-title:Journal of Chemical Information and Modeling
language:en
Short-container-title:J. Chem. Inf. Model.

Author:

Wang Lihua¹²³⁴,Ye Chen¹²,Cheng Na⁵⁶,Xia Junfeng¹²^ORCID

Affiliation:

1. Information Materials and Intelligent Sensing Laboratory of Anhui Province, Institutes of Physical Science and Information Technology

2. Anhui University

3. School of Information Engineering

4. Huangshan University

5. School of Biomedical Engineering

6. Anhui Medical University

Funder

National Natural Science Foundation of China

Natural Science Foundation of the Anhui Higher Education Institutions of China

Publisher

American Chemical Society (ACS)

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jcim.5c00855

Reference69 articles.

1. Global cancer statistics 2022: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries

2. Patterns of somatic mutation in human cancer genomes

3. The cancer genome

4. A recurrent synonymous L1CAM variant in a fetus with hydrocephalus

5. Somatic Mutations in Normal Tissues: Calm before the Storm

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