Sentence examples for dataset for the corresponding from inspiring English sources

We compared the SNVs in each pool to the SNVs reported in the HM+1KG dataset for the corresponding 20 samples in the pool.

Indeed, whenever an enrichment event matches with the trained kernel, the kernel-fitting process is also performed in the control dataset for the corresponding genomic region.

The source population, each time after excluding the 20 clusters that were sampled for the training dataset, was taken to be the 'test' or 'validation' dataset for the corresponding training dataset.

From the array data, calls could be made for ∼97.5% of the bases, and false positive rates were very low with only a single mutation reported from the array dataset for which the corresponding dideoxy trace had a clean wildtype sequence.

Given a set of top-ranked SNPs obtained from a ranking method applied to a training dataset, we applied the k-nearest neighbor (kNN) classification method to a test dataset containing genotypes for the corresponding SNPs.

The proportion of house-keeping nodes varied from 0.105 to 0.321 for the HuGE Index dataset and from 0.051 to 0.224 for the EST-SAGE dataset, while the corresponding values for the proportion of tissue-specific nodes were 0.017 to 0.173 and 0.008 to 0.080.

We then used PROCOV to estimate the topology for each dataset under the corresponding model (i.e, using the same model that was used for simulating the data for each dataset) and (except for the TS model) 4 gamma rates, with a starting tree that was obtained with the neighbor-joining method by PHYLIP for each dataset.

This is the dataset for corresponding Journal Article - The dynamics of invariant object recognition in the human visual system.

We precompute the number of occurrences of various seed-match patterns in the positive miRNA-mRNA interaction dataset and the corresponding seed enrichment score for each pattern as follows.

DB and ωB: p-distance and dN/dS among five copepods; DW and ωW: p-distance and dN/dS within C. sinicus. 1 missing data due to the incomplete dataset; 2 unfeasible parameter for the corresponding genes.

That is in contrast with the results for H = 100, where many prediction values are very far from the gold solution for the corresponding dataset, e.g., the Lymphoma dataset.