Pathogenicity classification of missense mutations based on deep generative model-Reference-Cited by-同舟云学术

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Pathogenicity classification of missense mutations based on deep generative model

Published:2024-03 Issue: Volume:170 Page:107980
ISSN:0010-4825
Container-title:Computers in Biology and Medicine
language:en
Short-container-title:Computers in Biology and Medicine

Author:

Bai Ke,Yang Lu^ORCID,Xue Jian^ORCID,Zhao Lin,Hao Fanchang

Funder

National Natural Science Foundation of China

Natural Science Foundation of Shandong Province

Shandong Jianzhu University

National Natural Science Foundation of China-Shandong Joint Fund for Marine Science Research Centers

Key Technology Research and Development Program of Shandong Province

Publisher

Elsevier BV

Reference39 articles.

1. Large-Scale Clinical Interpretation of Genetic Variants Using Evolutionary Data and Deep Learning;Frazer,2020

2. ClinVar: Improving access to variant interpretations and supporting evidence;Landrum;Nucl. Acids Res.,2018

3. SWISS-MODEL: homology modelling of protein structures and complexes;Waterhouse;Nucleic Acids Res.,2018

4. Genetic variability of TMPRSS6 and its association with iron deficiency anaemia;Delbini;Br. J. Haematol.,2010

5. Disease variant prediction with deep generative models of evolutionary data;Frazer;Nature,2021

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