Chromosome preference of disease genes and vectorization for the prediction of non-coding disease genes

Disease-related protein-coding genes have been widely studied, but disease-related non-coding genes remain largely unknown. This work introduces a new vector to represent diseases, and applies the newly vectorized data for a positive-unlabeled learning algorithm to predict and rank disease-related l...

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Detalles Bibliográficos
Autores principales: Peng, Hui, Lan, Chaowang, Liu, Yuansheng, Liu, Tao, Blumenstein, Michael, Li, Jinyan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2017
Materias:
Research Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5668007/
https://www.ncbi.nlm.nih.gov/pubmed/29108274
http://dx.doi.org/10.18632/oncotarget.20481

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5668007/
https://www.ncbi.nlm.nih.gov/pubmed/29108274
http://dx.doi.org/10.18632/oncotarget.20481

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