Microarray experiments (dataset VIII) were performed with custom UNC Agilent two-channel microarrays.
We screened the whole ArrayExpress database and downloaded whole transcript microarray experiment datasets related with folliculogenesis from 18 mouse models by using Affymetrix GeneChip Mouse Genome 430 2.0 platform.
We have applied Support Vector Machines (SVM) and a stratified cross‐validation approach to analyze a large microarray experiment dataset from D. melanogaster in order to predict possible functions for previously un‐annotated genes.
We have applied Support Vector Machines (SVM), a sigmoid fitting function and a stratified cross‐validation approach to analyze a large microarray experiment dataset from Drosophila melanogaster in order to predict possible functions for previously un‐annotated genes.
Basing on the microarray experiment (the datasets that we chose from GEO were from good quality and already normalized) the fold change between the two conditions can be computed for each gene.
Supplementary information on each of the microarray experiments and all datasets are available online [ 22, 23].
In our microarray experiments, we compared datasets for shift in expression at different developmental stages of rice and observed that 30 and 247 probe sets up- and down-regulated respectively were root specific during Cr-stress (Additional files 4 and 5, Table S3 and S4).
Data were downloaded in May 2005 (dataset 1), covering 1,823 microarray experiments, and in April 2006 (dataset 2, an update including dataset 1) covering 2,202 microarrays.
The expression data based on microarray experiments belong to three datasets: DeGregorio2001, Arbeitman2002, and Spellman2002.
All microarray experiments pertaining to these datasets were conducted at the Department of Pathology, MD Anderson Cancer Center (MDACC), Houston, Texas, as part of several international and multicenter studies conducted between 2000 and 2010.
