EMDS: predicting essential miRNAs based on deep learning and sequences-Reference-Cited by-同舟云学术

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EMDS: predicting essential miRNAs based on deep learning and sequences

Published:2022-12-06 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
language:
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Author:

Yan Cheng¹,Duan Guihua²,Wu Fang-Xiang³

Affiliation:

1. Hunan University of Chinese Medicine,School of Computer Science and Engineering,Changsha,China

2. Central South University,School of Computer Science and Engineering,Changsha,China

3. University of Saskatchewan,Division of Biomedical Engineering and Department of Mechanical Engineering,Saskatoon,Canada

Funder

National Natural Science Foundation of China

Natural Science Foundation of Hunan Province

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9994793/9994847/09995071.pdf?arnumber=9995071

Reference39 articles.

1. miRCancer: a microRNA-cancer association database constructed by text mining on literature

2. Scikit-learn: Machine learning in python;pedregosa;The Journal of Machine Learning Research,2011

3. OncomiRDB: a database for the experimentally verified oncogenic and tumor-suppressive microRNAs

4. Greedy function approximation: a gradient boosting machine;friedman;Annals of Statistics,2001

5. MDA-GCNFTG: identifying miRNA-disease associations based on graph convolutional networks via graph sampling through the feature and topology graph

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