A deep learning approach to identify association of disease–gene using information of disease symptoms and protein sequences-Reference-Cited by-同舟云学术

A deep learning approach to identify association of disease–gene using information of disease symptoms and protein sequences

Author:

Chen Xingyu¹²³⁴,Huang Qixing¹²³⁴,Wang Yang⁵⁶³⁴,Li Jinlong¹²³⁴,Liu Haiyan¹²³⁴,Xie Yun¹²³⁴,Dai Zong⁵⁶³⁴^ORCID,Zou Xiaoyong⁵⁶³⁴^ORCID,Li Zhanchao¹²³⁴⁷

Affiliation:

1. School of Chemistry and Chemical Engineering

2. Guangdong Pharmaceutical University

3. Guangzhou

4. China

5. School of Chemistry

6. Sun Yat-Sen University

7. Key Laboratory of Digital Quality Evaluation of Chinese Materia Medica of State Administration of Traditional Chinese Medicine

Abstract

Prediction of disease–gene association based on a deep convolutional neural network.

Funder

National Natural Science Foundation of China

Science and Technology Planning Project of Guangdong Province

Publisher

Royal Society of Chemistry (RSC)

Subject

General Engineering,General Chemical Engineering,Analytical Chemistry

Link

Reference39 articles.

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2. GeneOntology's Disease Gene Identification Assessment by DisGeNET;2024 International Conference on Advancements in Smart, Secure and Intelligent Computing (ASSIC);2024-01-27