A regulation probability model-based meta-analysis of multiple transcriptomics data sets for cancer biomarker identification

BACKGROUND: Large-scale accumulation of omics data poses a pressing challenge of integrative analysis of multiple data sets in bioinformatics. An open question of such integrative analysis is how to pinpoint consistent but subtle gene activity patterns across studies. Study heterogeneity needs to be...

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Detalles Bibliográficos
Autores principales: Xie, Xin-Ping, Xie, Yu-Feng, Wang, Hong-Qiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5568075/
https://www.ncbi.nlm.nih.gov/pubmed/28830341
http://dx.doi.org/10.1186/s12859-017-1794-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5568075/
https://www.ncbi.nlm.nih.gov/pubmed/28830341
http://dx.doi.org/10.1186/s12859-017-1794-6

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