Constructing discriminative feature space for LncRNA–protein interaction based on deep autoencoder and marginal fisher analysis-Reference-Cited by-同舟云学术

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Constructing discriminative feature space for LncRNA–protein interaction based on deep autoencoder and marginal fisher analysis

Published:2023-05 Issue: Volume:157 Page:106711
ISSN:0010-4825
Container-title:Computers in Biology and Medicine
language:en
Short-container-title:Computers in Biology and Medicine

Author:

Teng Zhixia,Zhang Yiran,Dai Qiguo,Wu Chengyan,Li Dan

Funder

National Natural Science Foundation of China

Postdoctoral Science Foundation of Jiangsu Province

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference83 articles.

1. The emergence of lncRNAs in cancer biology;Prensner;Cancer Discov.,2011

2. Towards a better prediction of subcellular location of long non-coding RNA;Zhang;Front. Comput. Sci.,2022

3. ILncRNAdis-FB: Identify lncRNA-disease associations by fusing biological feature blocks through deep neural network;Wei;IEEE/ACM Trans. Comput. Biol. Bioinform.,2021

4. The stacking strategy-based hybrid framework for identifying non-coding RNAs;Wang;Brief Bioinform,2021

5. LncRNA2Target v2.0: A comprehensive database for target genes of lncRNAs in human and mouse;Cheng;Nucl. Acids Res.,2019

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1. IIFS2.0: An Improved Incremental Feature Selection Method for Protein Sequence Processing Based on a Caching Strategy;Journal of Molecular Biology;2024-08

2. A comprehensive survey on deep learning-based identification and predicting the interaction mechanism of long non-coding RNAs;Briefings in Functional Genomics;2024-04-04

3. AGF-PPIS: A protein–protein interaction site predictor based on an attention mechanism and graph convolutional networks;Methods;2024-02

4. Reconstructing the cytokine view for the multi-view prediction of COVID-19 mortality;BMC Infectious Diseases;2023-09-21

5. Deep Learning Approaches for lncRNA-Mediated Mechanisms: A Comprehensive Review of Recent Developments;International Journal of Molecular Sciences;2023-06-18

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