Sentence examples for using smaller subsets of from inspiring English sources

When a single heritability estimate based on a more robust sampling of data was used to estimate realized accuracies, results became more stable in the analyses using smaller subsets of the data [See Additional file 2: Figure S1B] and assessments of DGV accuracy could then be based solely on the estimated correlation between phenotype and predicted DGV within the validation set.

When we repeated the analysis of Dataset 2 using smaller subsets of reference individuals for clustering (N = 20 and N = 50), we found that using a lower number of representative samples for the full analysis is likely to introduce some degree of inaccuracy in both cluster positioning and allele frequency estimation.

These analyses use smaller subsets of the databases, and rely on simplified figures of merit to predict likely performance based on the MQNs.

Moderate subset sizes generated distributions with a lower bias and variability than those obtained using smaller subset sizes or all of the mutations (Table 1).

To check the ranking methods described below we used small subsets (100 genomes) of this dataset.

Using systematically smaller subsets of E. coli genes to estimate f n, we saw improvement in the correlation between mRNA expression levels and ACE u, MELP, GCB and E (Additional file 3, Figure S3).

We used SVM to make predictions using this smaller subset of attributes (19) and then compared with the predictions where each of the attributes was removed from the subset in turn (Additional file 5).

While we lacked data on some fine-scale drivers like microclimate and hydrologic processes for the full set of plots used here, further work could examine how those types of drivers differ among these classifications using a smaller subset of plots for which those data are available.

Compared to PSO SVM, HHPSO SVM obtained higher classification accuracy using a smaller subset of features.

Due to the high internal consistency of this scale future work should assess whether the scale could be refined by using a smaller subset of items.

Using the smaller subset of transcriptionally variable genes we assessed the extent of variability in DEG expression among plants within and between sample groups.