Prioritization, clustering and functional annotation of MicroRNAs using latent semantic indexing of MEDLINE abstracts

BACKGROUND: The amount of scientific information about MicroRNAs (miRNAs) is growing exponentially, making it difficult for researchers to interpret experimental results. In this study, we present an automated text mining approach using Latent Semantic Indexing (LSI) for prioritization, clustering a...

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Detalles Bibliográficos
Autores principales: Roy, Sujoy, Curry, Brandon C., Madahian, Behrouz, Homayouni, Ramin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Proceedings
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5073981/
https://www.ncbi.nlm.nih.gov/pubmed/27766940
http://dx.doi.org/10.1186/s12859-016-1223-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5073981/
https://www.ncbi.nlm.nih.gov/pubmed/27766940
http://dx.doi.org/10.1186/s12859-016-1223-2

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