ACDMBI: A deep learning model based on community division and multi-source biological information fusion predicts essential proteins-Reference-Cited by-同舟云学术

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ACDMBI: A deep learning model based on community division and multi-source biological information fusion predicts essential proteins

Published:2024-10 Issue: Volume:112 Page:108115
ISSN:1476-9271
Container-title:Computational Biology and Chemistry
language:en
Short-container-title:Computational Biology and Chemistry

Author:

Lu Pengli,Tian Jialong

Publisher

Elsevier BV

Reference65 articles.

1. Feature selection and the class imbalance problem in predicting protein function from sequence;Al-Shahib;Appl. Bioinform.,2005

2. Chinese clinical named entity recognition via multi-head self-attention based BiLSTM-CRF;An;Artif. Intell. Med.,2022

3. Prediction of antioxidant proteins using hybrid feature representation method and random forest;Ao;Genomics,2020

4. Oxidative stress in cancer cell metabolism;Arfin;Antioxidants,2021

5. Machine learning approach to gene essentiality prediction: a review;Aromolaran;Brief. Bioinform.,2021

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