Sentence examples for using the significance analysis from inspiring English sources
A total of 10,106 significant genes were obtained using the significance analysis of microarrays (SAM) [ 21] technique, a regularized t-test approach, using the false discovery rate (FDR = 0.98).
Second, a supervised gene set enrichment analysis was performed with 21 gene sets covering the significant biological processes from the GO analysis, using the Significance Analysis of Microarrays for Gene Sets (SAM-GS) software, which is based on the moderated t-statistics in SAM (Dinu et al, 2007).
Significant differentially expressed/translated genes were identified using the Significance Analysis of Microarrays (SAM) algorithm using a q-value threshold of q<0.1 [79].
Using the significance analysis of microarrays method, we observed 20 significant RE-changing miRNAs (miRNAs that show different regulatory effects between IBC and non-IBC).
Genes with significant changes in expression were identified using the significance analysis of microarrays (SAM) test implemented in the MeV software (v4.2) with ∆ = 1.18 for TIGR4 and ∆ = 1.98 for G54 (∆ cutoff corresponded to a false positive rate of 0%).
The identification of genes with significant differences in expression levels was performed using the significance analysis of microarray method (SAM one class) [29].
Data were retrieved only from spots with a signal intensity >150% above background in either Cy5- or Cy3-channels from SMD. Genes with potentially significant changes in expression in response to clorgyline were identified using the significance analysis of microarrays (SAM) procedure [ 15].
Using the significance analysis of microarrays (SAM) algorithm [64], we found only one transcript with significant differential expression between Ago2- and mock-transfected samples: a ∼25 fold enrichment of a CMV IRES sequence present in the exogenous FLAG-Ago2 expression transcript.
Microarray data were also analyzed using the Significance Analysis of Microarrays (SAM) [28].
Differentially expressed miRNAs from each sample type were identified using the Significance Analysis of Microarrays (SAM) software.
Using the 'Significance Analysis of Microarrays' strategy [ 30], 3109 genes demonstrated consistent expression changes and acceptable spot confidence of which 2957 had appropriate q-values (<0.1%).
