MultiDS-MDA: Integrating multiple data sources into heterogeneous network for predicting novel metabolite-drug associations-Reference-Cited by-同舟云学术

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MultiDS-MDA: Integrating multiple data sources into heterogeneous network for predicting novel metabolite-drug associations

Published:2023-08 Issue: Volume:162 Page:107067
ISSN:0010-4825
Container-title:Computers in Biology and Medicine
language:en
Short-container-title:Computers in Biology and Medicine

Author:

Li Xiuhong,Yuan Hao,Wu Xiaoliang,Wang Chengyi,Wu Meitao,Shi Hongbo,Lv Yingli

Funder

Heilongjiang Provincial Postdoctoral Science Foundation

Postdoctoral Foundation of Hei Long Jiang Province

Natural Science Foundation of Heilongjiang Province

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference48 articles.

1. Predicting metabolite-disease associations based on LightGBM model;Zhang;Front. Genet.,2021

2. Predicting metabolite-disease associations based on KATZ model;Lei;BioData Min.,2019

3. Prediction of drug metabolites using neural machine translation;Litsa;Chem. Sci.,2020

4. Analysis of drug-endogenous human metabolite similarities in terms of their maximum common substructures;O'Hagan;J. Cheminf.,2017

5. Innovation: metabolomics: the apogee of the omics trilogy;Patti;Nat. Rev. Mol. Cell Biol.,2012

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