BioPrediction-RPI: Democratizing the prediction of interaction between non-coding RNA and protein with end-to-end machine learning-Reference-Cited by-同舟云学术

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BioPrediction-RPI: Democratizing the prediction of interaction between non-coding RNA and protein with end-to-end machine learning

Published:2024-12 Issue: Volume:23 Page:2267-2276
ISSN:2001-0370
Container-title:Computational and Structural Biotechnology Journal
language:en
Short-container-title:Computational and Structural Biotechnology Journal

Author:

Florentino Bruno Rafael^ORCID,Parmezan Bonidia Robson^ORCID,Sanches Natan Henrique^ORCID,da Rocha Ulisses N.,de Carvalho André C.P.L.F.

Funder

International Development Research Centre

Publisher

Elsevier BV

Reference43 articles.

1. Big data in basic and translational cancer research;Jiang;Nat Rev Cancer,2022

2. Intelligent mining of large-scale bio-data: bioinformatics applications;Sadat Golestan Hashemi;Biotechnol Biotechnol Equip,2018

3. Microbiome big-data mining and applications using single-cell technologies and metagenomics approaches toward precision medicine;Mingyue;Front Genet,2019

4. Worldwide protein data bank (wwpdb): a virtual treasure for research in biotechnology;Behzadi;Eur J Microbiol Immunol (Bp),2021

5. Ten quick tips for machine learning in computational biology;Chicco;BioData Min,2017

Cited by 1 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. Corrigendum to “BioPrediction-RPI: Democratizing the prediction of interaction between non-coding RNA and protein with end-to-end machine learning” [Comput Struct Biotechnol J, vol. 23, pp 2267-2276];Computational and Structural Biotechnology Journal;2024-12

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