InfAcrOnt: calculating cross-ontology term similarities using information flow by a random walk

BACKGROUND: Since the establishment of the first biomedical ontology Gene Ontology (GO), the number of biomedical ontology has increased dramatically. Nowadays over 300 ontologies have been built including extensively used Disease Ontology (DO) and Human Phenotype Ontology (HPO). Because of the adva...

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Detalles Bibliográficos
Autores principales: Cheng, Liang, Jiang, Yue, Ju, Hong, Sun, Jie, Peng, Jiajie, Zhou, Meng, Hu, Yang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5780854/
https://www.ncbi.nlm.nih.gov/pubmed/29363423
http://dx.doi.org/10.1186/s12864-017-4338-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5780854/
https://www.ncbi.nlm.nih.gov/pubmed/29363423
http://dx.doi.org/10.1186/s12864-017-4338-6

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