Classification of imbalanced protein sequences with deep-learning approaches; application on influenza A imbalanced virus classes-Reference-Cited by-同舟云学术

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Classification of imbalanced protein sequences with deep-learning approaches; application on influenza A imbalanced virus classes

Published:2022 Issue: Volume:29 Page:100860
ISSN:2352-9148
Container-title:Informatics in Medicine Unlocked
language:en
Short-container-title:Informatics in Medicine Unlocked

Author:

Ahsan Reza,Ebrahimi Faezeh^ORCID,Ebrahimi Mansour^ORCID

Publisher

Elsevier BV

Subject

Health Informatics

Reference37 articles.

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2. A comprehensive review of the imbalance classification of protein post-translational modifications;Dou;Briefings Bioinf,2021

3. A comprehensive data level analysis for cancer diagnosis on imbalanced data;Fotouhi;J Biomed Inf,2019

4. A machine-based approach to preoperatively identify patients with the most and least benefit associated with resection for intrahepatic cholangiocarcinoma: an international multi-institutional analysis of 1146 patients;Tsilimigras;Ann Surg Oncol,2020

5. Beyond principal components: a critical comparison of factor analysis methods for subspace modelling in chemistry;Wentzell;Anal Methods,2021

Cited by 2 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. A survey on imbalanced learning: latest research, applications and future directions;Artificial Intelligence Review;2024-05-09

2. Assessing Imbalanced Datasets in Binary Classifiers;Soft Computing for Problem Solving;2023

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