Probability-based collaborative filtering model for predicting gene–disease associations

BACKGROUND: Accurately predicting pathogenic human genes has been challenging in recent research. Considering extensive gene–disease data verified by biological experiments, we can apply computational methods to perform accurate predictions with reduced time and expenses. METHODS: We propose a proba...

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Detalles Bibliográficos
Autores principales: Zeng, Xiangxiang, Ding, Ningxiang, Rodríguez-Patón, Alfonso, Zou, Quan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5751590/
https://www.ncbi.nlm.nih.gov/pubmed/29297351
http://dx.doi.org/10.1186/s12920-017-0313-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5751590/
https://www.ncbi.nlm.nih.gov/pubmed/29297351
http://dx.doi.org/10.1186/s12920-017-0313-y

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