Mining Relational Paths in Integrated Biomedical Data

Much life science and biology research requires an understanding of complex relationships between biological entities (genes, compounds, pathways, diseases, and so on). There is a wealth of data on such relationships in publicly available datasets and publications, but these sources are overlapped a...

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Detalles Bibliográficos
Autores principales: He, Bing, Tang, Jie, Ding, Ying, Wang, Huijun, Sun, Yuyin, Shin, Jae Hong, Chen, Bin, Moorthy, Ganesh, Qiu, Judy, Desai, Pankaj, Wild, David J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2011
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3232205/
https://www.ncbi.nlm.nih.gov/pubmed/22162991
http://dx.doi.org/10.1371/journal.pone.0027506

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3232205/
https://www.ncbi.nlm.nih.gov/pubmed/22162991
http://dx.doi.org/10.1371/journal.pone.0027506

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