MiRNA-Disease Associations Prediction based on Network Consistency Projection

The 11th Conference on Information Technology and its Applications; Topic: Data Science and AI; pp.23-32.

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Prif Awduron:	Nguyen, Phuc Xuan Quynh, Tran, Hoai Nhan, Le, Anh Phuong
Fformat:	Bài viết
Iaith:	English
Cyhoeddwyd:	Da Nang Publishing House 2022
Pynciau:	MiRNA-disease Associations Prediction MDA Network Consistency Projection
Mynediad Ar-lein:	http://elib.vku.udn.vn/handle/123456789/2309
Tagiau:	Ychwanegu Tag Dim Tagiau, Byddwch y cyntaf i dagio'r cofnod hwn!

Thư viện lưu trữ:	Trường Đại học Công nghệ Thông tin và Truyền thông Việt Hàn - Đại học Đà Nẵng

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spelling	oai:elib.vku.udn.vn:123456789-23092023-09-25T22:32:04Z MiRNA-Disease Associations Prediction based on Network Consistency Projection Nguyen, Phuc Xuan Quynh Tran, Hoai Nhan Le, Anh Phuong MiRNA-disease Associations Prediction MDA Network Consistency Projection The 11th Conference on Information Technology and its Applications; Topic: Data Science and AI; pp.23-32. MicroRNAs (miRNAs) play an important role in the prevention, diagnosis, and treatment of human complex diseases. More and more experimental validated associations between miRNAs and diseases have been reported in recent studies, which provide useful information for new miRNA-disease association discovery. But through experiments, we have to overcome problems such as the inefficiency of methods, the need for a lot of manpower, materials, and finance… Therefore, reliable computational models are expected to be an effective supplement for inferring associations between miRNAs and diseases. In this paper, we propose a computational method based on network consistency projection to predict potential human miRNA-disease associations (MDA). This method enriches biological information and reduces prediction bias. Besides, it is not only a parameterless method but also does not require a negative sample. More importantly, it can predict miRNA without any known associated diseases. This method’s AUC value of 5-fold cross-validation (5-fold-CV) is also compared to five methods and it is shown that the AUC value of this method achieves the highest value. 2022-08-17T01:36:39Z 2022-08-17T01:36:39Z 2022-07 Working Paper 978-604-84-6711-1 http://elib.vku.udn.vn/handle/123456789/2309 en application/pdf Da Nang Publishing House
institution	Trường Đại học Công nghệ Thông tin và Truyền thông Việt Hàn - Đại học Đà Nẵng
collection	DSpace
language	English
topic	MiRNA-disease Associations Prediction MDA Network Consistency Projection
spellingShingle	MiRNA-disease Associations Prediction MDA Network Consistency Projection Nguyen, Phuc Xuan Quynh Tran, Hoai Nhan Le, Anh Phuong MiRNA-Disease Associations Prediction based on Network Consistency Projection
description	The 11th Conference on Information Technology and its Applications; Topic: Data Science and AI; pp.23-32.
format	Working Paper
author	Nguyen, Phuc Xuan Quynh Tran, Hoai Nhan Le, Anh Phuong
author_facet	Nguyen, Phuc Xuan Quynh Tran, Hoai Nhan Le, Anh Phuong
author_sort	Nguyen, Phuc Xuan Quynh
title	MiRNA-Disease Associations Prediction based on Network Consistency Projection
title_short	MiRNA-Disease Associations Prediction based on Network Consistency Projection
title_full	MiRNA-Disease Associations Prediction based on Network Consistency Projection
title_fullStr	MiRNA-Disease Associations Prediction based on Network Consistency Projection
title_full_unstemmed	MiRNA-Disease Associations Prediction based on Network Consistency Projection
title_sort	mirna-disease associations prediction based on network consistency projection
publisher	Da Nang Publishing House
publishDate	2022
url	http://elib.vku.udn.vn/handle/123456789/2309
_version_	1849200728251301888

MiRNA-Disease Associations Prediction based on Network Consistency Projection

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