Combined analysis of gene regulatory network and SNV information enhances identification of potential gene markers in mouse knockout studies with small number of samples

RNA-sequencing is widely used to measure gene expression level at the whole genome level. Comparing expression data from control and case studies provides good insight on potential gene markers for phenotypes. However, discovering gene markers that represent phenotypic differences in a small number...

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Detalles Bibliográficos
Autores principales: Hur, Benjamin, Chae, Heejoon, Kim, Sun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4460612/
https://www.ncbi.nlm.nih.gov/pubmed/26044212
http://dx.doi.org/10.1186/1755-8794-8-S2-S10

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4460612/
https://www.ncbi.nlm.nih.gov/pubmed/26044212
http://dx.doi.org/10.1186/1755-8794-8-S2-S10

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