A brief procedure for big data analysis of gene expression

There are a lot of biological and experimental data from genomics, proteomics, drug screening, medicinal chemistry, etc. A large amount of data must be analyzed by special methods of statistics, bioinformatics, and computer science. Big data analysis is an effective way to build scientific hypothesi...

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Detalles Bibliográficos
Autores principales: Wang, Kewei, Wang, Wenji, Li, Mang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2018
Materias:
Review Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6388068/
https://www.ncbi.nlm.nih.gov/pubmed/30891564
http://dx.doi.org/10.1002/ame2.12028
Descripción
Sumario:There are a lot of biological and experimental data from genomics, proteomics, drug screening, medicinal chemistry, etc. A large amount of data must be analyzed by special methods of statistics, bioinformatics, and computer science. Big data analysis is an effective way to build scientific hypothesis and explore internal mechanism. Here, gene expression is taken as an example to illustrate the basic procedure of the big data analysis.

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