Cargando…
Mining published lists of cancer related microarray experiments: Identification of a gene expression signature having a critical role in cell-cycle control
BACKGROUND: Routine application of gene expression microarray technology is rapidly producing large amounts of data that necessitate new approaches of analysis. The analysis of a specific microarray experiment profits enormously from cross-comparing to other experiments. This process is generally pe...
Autores principales: | Finocchiaro, Giacomo, Mancuso, Francesco, Muller, Heiko |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2005
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1866394/ https://www.ncbi.nlm.nih.gov/pubmed/16351740 http://dx.doi.org/10.1186/1471-2105-6-S4-S14 |
Ejemplares similares
-
Graph-based identification of cancer signaling pathways from published gene expression signatures using PubLiME
por: Finocchiaro, Giacomo, et al.
Publicado: (2007) -
Topological Properties of Co-Occurrence Networks in Published Gene Expression Signatures
por: Muller, Heiko, et al.
Publicado: (2008) -
Identification of a radiosensitivity signature using integrative metaanalysis of published microarray data for NCI-60 cancer cells
por: Kim, Han Sang, et al.
Publicado: (2012) -
Quantitative comparison of microarray experiments with published leukemia related gene expression signatures
por: Klein, Hans-Ulrich, et al.
Publicado: (2009) -
Identification and Analysis of Co-Occurrence Networks with NetCutter
por: Müller, Heiko, et al.
Publicado: (2008)