Identification of Genes for Complex Diseases Using Integrated Analysis of Multiple Types of Genomic Data

Various types of genomic data (e.g., SNPs and mRNA transcripts) have been employed to identify risk genes for complex diseases. However, the analysis of these data has largely been performed in isolation. Combining these multiple data for integrative analysis can take advantage of complementary info...

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Detalles Bibliográficos
Autores principales: Cao, Hongbao, Lei, Shufeng, Deng, Hong-Wen, Wang, Yu-Ping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2012
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3434191/
https://www.ncbi.nlm.nih.gov/pubmed/22957024
http://dx.doi.org/10.1371/journal.pone.0042755

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3434191/
https://www.ncbi.nlm.nih.gov/pubmed/22957024
http://dx.doi.org/10.1371/journal.pone.0042755

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