Bipartite graph-based collaborative matrix factorization method for predicting miRNA-disease associations

BACKGROUND: With the rapid development of various advanced biotechnologies, researchers in related fields have realized that microRNAs (miRNAs) play critical roles in many serious human diseases. However, experimental identification of new miRNA–disease associations (MDAs) is expensive and time-cons...

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Detalles Bibliográficos
Autores principales: Zhou, Feng, Yin, Meng-Meng, Jiao, Cui-Na, Cui, Zhen, Zhao, Jing-Xiu, Liu, Jin-Xing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8627000/
https://www.ncbi.nlm.nih.gov/pubmed/34837953
http://dx.doi.org/10.1186/s12859-021-04486-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8627000/
https://www.ncbi.nlm.nih.gov/pubmed/34837953
http://dx.doi.org/10.1186/s12859-021-04486-w

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