HOPEXGB: A Consensual Model for Predicting miRNA/lncRNA-Disease Associations Using a Heterogeneous Disease-miRNA-lncRNA Information Network

Predicting disease-related microRNAs (miRNAs) and long noncoding RNAs (lncRNAs) is crucial to find new biomarkers for the prevention, diagnosis, and treatment of complex human diseases. Computational predictions for miRNA/lncRNA-disease associations are of great practical significance, since traditi...

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Veröffentlicht in:	Journal of chemical information and modeling 2024-04, Vol.64 (7), p.2863-2877
Hauptverfasser:	He, Jian, Li, Menglong, Qiu, Jiangguo, Pu, Xuemei, Guo, Yanzhi
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Area Under Curve Bioinformatics Biomarkers Cancer Computational Biology - methods Datasets Diagnosis Disease Embedding Humans Machine Learning MicroRNAs MicroRNAs - genetics MicroRNAs - metabolism Neoplasms - genetics RNA, Long Noncoding - genetics RNA, Long Noncoding - metabolism Similarity
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