Knowledge-guided learning methods for integrative analysis of multi-omics data-Reference-Cited by-同舟云学术

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Knowledge-guided learning methods for integrative analysis of multi-omics data

Published:2024-12 Issue: Volume:23 Page:1945-1950
ISSN:2001-0370
Container-title:Computational and Structural Biotechnology Journal
language:en
Short-container-title:Computational and Structural Biotechnology Journal

Author:

Li Wenrui^ORCID,Ballard Jenna^ORCID,Zhao Yize,Long Qi^ORCID

Funder

National Institutes of Health

Publisher

Elsevier BV

Reference48 articles.

1. Therapeutically applicable research to generate effective treatments (TARGET) - NCI,2022

2. Aging Atlas: a multi-omics database for aging biology;Nucleic Acids Res,2021

3. Deepmocca: a pan-cancer prognostic model identifies personalized prognostic markers through graph attention and multi-omics data integration;Althubaiti;bioRxiv,2021

4. Gene ontology: tool for the unification of biology;Ashburner;Nat Genet,2000

5. Integrative analysis of multi-omics and imaging data with incorporation of biological information via structural Bayesian factor analysis;Bao;Brief Bioinform,2023

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Importance of Transcript Variants in Transcriptome Analyses;Cells;2024-09-08

2. Applications of Multimodal Artificial Intelligence in Non-Hodgkin Lymphoma B Cells;Biomedicines;2024-08-05

3. Importance of transcript variants in transcriptome analyses;2024-07-16

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