Cargando…
Transcriptomic response to differentiation induction
BACKGROUND: Microarrays used for gene expression studies yield large amounts of data. The processing of such data typically leads to lists of differentially-regulated genes. A common terminal data analysis step is to map pathways of potentially interrelated genes. METHODS: We applied a transcriptomi...
Autores principales: | Patton, GW, Stephens, R, Sidorov, IA, Xiao, X, Lempicki, RA, Dimitrov, DS, Shoemaker, RH, Tudor, G |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2006
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1395336/ https://www.ncbi.nlm.nih.gov/pubmed/16503971 http://dx.doi.org/10.1186/1471-2105-7-81 |
Ejemplares similares
-
Spatially resolved transcriptomics reveals plant host responses to pathogens
por: Giolai, Michael, et al.
Publicado: (2019) -
Distinguishing highly similar gene isoforms with a clustering-based bioinformatics analysis of PacBio single-molecule long reads
por: Liang, Ma, et al.
Publicado: (2016) -
A novel joint analysis framework improves identification of differentially expressed genes in cross disease transcriptomic analysis
por: Qin, Wenyi, et al.
Publicado: (2018) -
Visualisation of the T cell differentiation programme by Canonical Correspondence Analysis of transcriptomes
por: Ono, Masahiro, et al.
Publicado: (2014) -
Part 1: A Novel Model for Three-Dimensional Culture of 3T3-L1
Preadipocytes Stimulates Spontaneous Cell Differentiation Independent of
Chemical Induction Typically Required in Monolayer
por: Aulthouse, Amy L, et al.
Publicado: (2019)