Sentence examples for predicting target from inspiring English sources

Insights into the biological pathways potentially regulated by miRNAs in PKD were obtained by predicting target miRNAs (Additional file 1) using four prediction tools, TargetScan [ 31], miRanda [ 32], miRDB [ 33] and microT [ 34] for the differentially expressed genes in cystic kidneys at E14.5 and E17.5 (Table 5).

We used the TargetScan algorithm [15] for our predictions due in part to our earlier successes in predicting target gene modulation.

HMM is not only very accurate and robust in analyzing signals but also can be a very powerful method of predicting target system's condition change.

First, a smoke adhesion to a target exposed to smoke is investigated as a basis to establish a model for predicting target luminance in fire smoke.

These analyses aimed to determine (1) if tail vein extravasation corrected data performed better than uncorrected data for predicting target inhibition and (2) if there was inter-observer variability in the tail vein injection correction process.

To enhance handover experience, recent approaches focus on reducing signalling, localizing the registration, creating hierarchies, using proxy, preparing handover in advance, predicting target network, or exploiting multicasting and path extension techniques.

Because different fingerprints take charge of different aspects and features of a compound, the multi-voting SEA could be very robust (using a 1-vote scheme) for predicting target-ligand pairs and also accurate in its results (using the 5-vote scheme).

They conclude that, with respect to GPCRs, predicting ligands is significantly easier than predicting targets.

Comparing at high-throughput 3-D features of protein cavities is likely to play an increasing role to guide the functional annotation of novel genomic structures as well as predicting target-based selectivity profiles for pharmacological ligands.

This result illustrates the well-documented difficulties of predicting targets for miRNA [43].

We generated a network by predicting targets of ssRNA populations obtained from high-throughput sequencing experiments.