Cargando…
Identification of sample-specific regulations using integrative network level analysis
BACKGROUND: Histologically similar tumors even from the same anatomical position may still show high variability at molecular level hindering analysis of genome-wide data. Leveling the analysis to a gene regulatory network instead of focusing on single genes has been suggested to overcome the hetero...
Autores principales: | Liu, Chengyu, Louhimo, Riku, Laakso, Marko, Lehtonen, Rainer, Hautaniemi, Sampsa |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4424448/ https://www.ncbi.nlm.nih.gov/pubmed/25928379 http://dx.doi.org/10.1186/s12885-015-1265-2 |
Ejemplares similares
-
Data integration to prioritize drugs using genomics and curated data
por: Louhimo, Riku, et al.
Publicado: (2016) -
Language-Agnostic Reproducible Data Analysis Using Literate Programming
por: Vassilev, Boris, et al.
Publicado: (2016) -
Identification of genetic markers with synergistic survival effect in cancer
por: Louhimo, Riku, et al.
Publicado: (2013) -
Fast Gene Ontology based clustering for microarray experiments
por: Ovaska, Kristian, et al.
Publicado: (2008) -
SePIA: RNA and small RNA sequence processing, integration, and analysis
por: Icay, Katherine, et al.
Publicado: (2016)