Sentence examples for probability of representing from inspiring English sources

Under those assumptions, ICA is able to recover the sources which will have a high probability of representing the constitutive components of a chromatogram.

This analysis allowed us to identify 35 sugarcane probe pairs that matched the sorghum genome sequence and have a high probability of representing SNPs in genes that have no ELPs between BTx623 and Rio but were expressed in the stem (see Table 2).

The idea is that the remaining edges in the network should have a high probability of representing either direct regulatory interactions or interactions realized by post-transcriptional modifications.

MitoProt predicted (in brackets) that the polypeptide sequences relating to W09H1.5 (0.8937) and Y48A6B.9 (0.6487) had a probability of representing mitochondrial proteins that was higher than the known yeast mitochondrial protein Etr1p (0.6333).

We analyzed KCNE1 and KCNE2 for possible secretory signal sequences, non-classical secretory protein prediction, (SignalP, SecretomeP, http://www.cbs.dtu.dk/services) which showed that the N-termini of KCNE1 and KCNE2 had a moderate probability of representing secretion signal sequences but no likely signal peptide cleavage sites.

We identified more than 7,500 SNPs with a high probability of representing true nucleotide variation in turkeys.

This allows us to observe relationships bearing significantly high probabilities of representing potential direct interactions or mediated interactions through post-transcriptional agents not being detected from gene expression profiles.

Surgical data have consistently demonstrated that as the size of a solid renal mass decreases, the probability of it representing a benign entity increases[ 16 22 ].

In previous work we found that notable women and men from three different reference lists have equal probability of being represented in Wikipedia [4].

For example a probability of (p_u=0.5) represents the case where, on average, each local controller has updated data available only every second central iteration.

Hence, any transcript producing a tag frequency of 4 per 48,905 (81.8 TPM) or greater has a 95% probability of being represented in this library.