Sentence examples for role prediction from inspiring English sources

A second obvious approach to consider for improving TF role prediction algorithms is to use comparative genomics.

We now assess the benefit of using the proposed method of incorporating comparative genomics into TF role prediction.

Our method for incorporating comparative genomics into TF role prediction depends on GO annotation being reliable when mapped from a gene in the key species to its ortholog in another species.

One obvious place to look for improvement in TF role prediction is in the quality of the PWM-based function used by G omo to score promoter regions for their potential to be targets of the TF.

The cellular role predictions "Cell envelope", "Regulatory functions", "Central intermediary metabolism" "Purines and pyrimidines" show significant enrichment.

Various Protfun cellular role predictions are enriched in these clusters, among them translation, transcription and mitochondrion related, found also in Funcat enrichment analysis.

The focus of the current work is to improve the sensitivity of computational methods that make TF role predictions using DNA-binding motifs.

Although the above assumptions are no doubt sometimes violated, our comparative genomics approach nonetheless substantially improves the sensitivity of TF role predictions.

The approach does not require multiple alignments because role predictions are made independently for each comparative genome and then combined across genomes.

Nonetheless, FDR analysis has been widely used for estimating the accuracy of both TF role predictions (Sinha et al., 2008) and TF binding site predictions (Kheradpour et al., 2007) when only incomplete or noisy validation sets are available.

Therefore, we also perform FDR analyses of predictions on E.coli, S.cerevisiae and H.sapiens, and compare the number of statistically significant TF role predictions made by G omo when using a single species or when using multiple species.