Clustering Algorithms: Their Application to Gene Expression Data

Gene expression data hide vital information required to understand the biological process that takes place in a particular organism in relation to its environment. Deciphering the hidden patterns in gene expression data proffers a prodigious preference to strengthen the understanding of functional g...

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Detalles Bibliográficos
Autores principales: Oyelade, Jelili, Isewon, Itunuoluwa, Oladipupo, Funke, Aromolaran, Olufemi, Uwoghiren, Efosa, Ameh, Faridah, Achas, Moses, Adebiyi, Ezekiel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Libertas Academica 2016
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5135122/
https://www.ncbi.nlm.nih.gov/pubmed/27932867
http://dx.doi.org/10.4137/BBI.S38316

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5135122/
https://www.ncbi.nlm.nih.gov/pubmed/27932867
http://dx.doi.org/10.4137/BBI.S38316

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