Sentence examples for go functions of from inspiring English sources
The GO functions of leaf senescence and cell wall modification were also highlighted (Table 6).
Figure 5(a) showed the top ten GO functions of ASGs regulated in biological process during chondrogenic differentiation of CESCs.
The GO functions of the predicted targets of novel miRNAs are shown in Additional file 7, Additional file 8, Additional file 9.
Figure 3(a) showed the top ten GO functions of DEGs regulated in biological process category during chondrogenic differentiation of CESCs.
The most prominent GO functions of these up-regulated genes were endopeptidase or serine-type peptidase activity, such as genes encoding trypsin, chymotrypsin, mast cell protease 2, urokinase-type plasminogen activator, and elastase.
Considering exon splicing that utilizes the canonical splicing signals (GT and AG) at the 5′ and 3′ end of introns and the GO functions of genes with TRs in introns (Table 2), we believe that the highly abundant TRs in introns, especially in the two green algae, may involve with both constitutive and alternative splicing activities.
For papaya up-regulated probe-sets, the Arabidopsis gene annotations and functional classifications were analysed using the gene ontology (GO) function of the GeneSpring software.
There appears to be good correlation in genes that are identified as being involved in both the GO process of "translation" and GO function of "structural constituent of ribosome", with a ROC area of 0.92 when trying to predict the function of these genes.
We analyzed the function of the two heart enhancer groups proximal and tele-enhancers according tele-enhancers accordingeir torgetheenes (GOnePs and GeneTs, respectively) (Ashburner et al. 2000).
This paper proposes an iterative process to select the cuts that model the cost-to-go functions of stochastic dynamic programming (SDP) and stochastic dual dynamic programming (SDDP) algorithms.
We remark that our result on the RIP is not limited to LASSO, but leads to the more general conclusion that sparse estimation algorithms can be used to approximate cost-to-go functions of wireless networks.
