iSnoDi-MDRF: identifying snoRNA-disease associations based on multiple biological data by ranking framework-Reference-Cited by-同舟云学术

iSnoDi-MDRF: identifying snoRNA-disease associations based on multiple biological data by ranking framework

Published:2023 Issue: Volume: Page:1-8
ISSN:1545-5963
Container-title:IEEE/ACM Transactions on Computational Biology and Bioinformatics
language:
Short-container-title:IEEE/ACM Trans. Comput. Biol. and Bioinf.

Author:

Zhang Wenxiang¹,Liu Bin²^ORCID

Affiliation:

1. School of Computer Science and Technology, Beiging Institute of Technology, Beiging, China

2. School of Computer Science and Technology and Advanced Research Institute of Multidisciplinary Science, Beijing Institute of Tecnology, Beijing, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Genetics,Biotechnology

Link

http://xplorestaging.ieee.org/ielx7/8857/4359833/10091127.pdf?arnumber=10091127

Reference67 articles.

1. Incorporating K-mers Highly Correlated to Epigenetic Modifications for Bayesian Inference of Gene Interactions

2. Adaptive boosting-based computational model for predicting potential miRNA-disease associations

3. Prediction of bio-sequence modifications and the associations with diseases

4. Predicting potential miRNA-disease associations by combining gradient boosting decision tree with logistic regression

5. Non-coding RNAs in human disease

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