Predicting human disease-associated circRNAs based on locality-constrained linear coding

Circular RNAs (circRNAs) are a new kind of endogenous non-coding RNAs, which have been discovered continuously. More and more studies have shown that circRNAs are related to the occurrence and development of human diseases. Identification of circRNAs associated with diseases can contribute to unders...

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Veröffentlicht in:	Genomics (San Diego, Calif.) Jg. 112; H. 2; S. 1335 - 1342
Hauptverfasser:	Ge, Erxia, Yang, Yingjuan, Gang, Mingjun, Fan, Chunlong, Zhao, Qi
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States Elsevier Inc 01.03.2020
Schlagworte:	Algorithms Association prediction breast neoplasms carcinoma case studies circRNA circular RNA computational methodology Cosine similarity Disease Genetic Predisposition to Disease Genome-Wide Association Study - methods human diseases Humans Label propagation Locality-constrained linear coding Neoplasms - genetics non-coding RNA pathogenesis prediction RNA, Circular - genetics stomach neoplasms Cosine similarity LLC circRNA Disease ROC FPR DAG Label propagation AUC SVT Locality-constrained linear coding TPR HPRD Association prediction 5-fold CV
ISSN:	0888-7543, 1089-8646, 1089-8646
Online-Zugang:	Volltext
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