SVDNVLDA: predicting lncRNA-disease associations by Singular Value Decomposition and node2vec
SVDNVLDA: predicting lncRNA-disease associations by Singular Value Decomposition and node2vec
About this item
Full title
Author / Creator
Publisher
London: BioMed Central Ltd
Journal title
Language
English
Formats
Publication information
Publisher
London: BioMed Central Ltd
Subjects
More information
Scope and Contents
Contents
Numerous studies on discovering the roles of long non-coding RNAs (lncRNAs) in the occurrence, development and prognosis progresses of various human diseases have drawn substantial attentions. Since only a tiny portion of lncRNA-disease associations have been properly annotated, an increasing number of computational methods have been proposed for p...
Alternative Titles
Full title
SVDNVLDA: predicting lncRNA-disease associations by Singular Value Decomposition and node2vec
Authors, Artists and Contributors
Author / Creator
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_ffe9b042f8344a1f8207d7bcb6f0d261
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_ffe9b042f8344a1f8207d7bcb6f0d261
Other Identifiers
ISSN
1471-2105
E-ISSN
1471-2105
DOI
10.1186/s12859-021-04457-1
