Cargando…
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...
| Autores principales: | , , , , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Impact Journals LLC
2017
|
| Materias: | |
| 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 |