Transboundary Pathogenic microRNA Analysis Framework for Crop Fungi Driven by Biological Big Data and Artificial Intelligence Model-Reference-Cited by-同舟云学术

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Transboundary Pathogenic microRNA Analysis Framework for Crop Fungi Driven by Biological Big Data and Artificial Intelligence Model

Published:2020-12 Issue: Volume:89 Page:107401
ISSN:1476-9271
Container-title:Computational Biology and Chemistry
language:en
Short-container-title:Computational Biology and Chemistry

Author:

Zhang Tianyue,Chang Haowu,Zhang Borui,Liu Sifei,Zhao Tianheng,Zhao Enshuang,Zhao Hengyi,Zhang Hao

Funder

Project of Development and Reform Commission of Jilin Province

Publisher

Elsevier BV

Subject

Computational Mathematics,Organic Chemistry,Biochemistry,Structural Biology

Reference49 articles.

1. The Top 10 fungal pathogens in molecular plant pathology;Dean;Molecular plant pathology,2012

2. Structure, Function, and Co-evolution of Rice Blast Resistance Genes;Moytri;Acta Agronomica Sinica,2012

3. Epigenetic regulation of antagonistic receptors confers rice blast resistance with yield balance;Deng;Science,2017

4. The Top 10 oomycete pathogens in molecular plant pathology;Kamoun;Molecular plant pathology,2015

5. Potato and Tomato Late Blight Caused byPhytophthora infestans: An Overview of Pathology and Resistance Breeding;Nowicki;Plant Disease,2012

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1. Biclustering data analysis: a comprehensive survey;Briefings in Bioinformatics;2024-05-23

2. A Relationship Prediction Method for Magnaporthe oryzae–Rice Multi-Omics Data Based on WGCNA and Graph Autoencoder;Journal of Fungi;2023-10-12

3. GERWR: Identifying the Key Pathogenicity-associated sRNAs of Magnaporthe oryzae Infection in Rice Based on Graph Embedding and Random Walk with Restart;IEEE/ACM Transactions on Computational Biology and Bioinformatics;2023

4. Exploring the Common Mechanism of Fungal sRNA Transboundary Regulation of Plants Based on Ensemble Learning Methods;Frontiers in Genetics;2022-02-11

5. An ensemble learning framework for potential miRNA-disease association prediction with positive-unlabeled data;Computational Biology and Chemistry;2021-12

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