Sentence examples for mean similarity between from inspiring English sources

The Fuzzy Numerical index represents the mean similarity between the biomass maps and the NBS map computed at different spatial resolutions (1 to 50 Km).

The S indices represent the mean similarity between each molecule from external samples and all molecules from training set using Tanimoto similarity metrics based on MACCS fingerprints.

The second approach was an approximation of the intra-set similarity using the newly proposed DFP: for each data set, the similarity based on the DFP was calculated as the mean similarity between the MACCS keys representation of each compound and the DFP of the data set.

The mean similarity between these 10 rhesus and human sequences was 94.42%.

In contrast, the mean similarity between children and adults was only θ = 0.025 ± 0.003, demonstrating significantly greater similarity within the groups than between the two groups.

However, this estimate is based on the application of strict and conservative criteria: less than 98% nucleotidic similarity and 93% mean similarity between paralogs.

Accuracy means the average similarity between the observation/classification and the 'true disease state/class'.

The data in Table 2 suggest that the mean similarity scores differ between functional categories.

The mean similarity in species composition between the SSB and USV was low.

The mean similarity in species composition between the soil seed banks and understory vegetation was low, but this was, as predicted, higher under the leguminous trees than non-leguminous trees, and under the inside tree canopies than outside canopies.

The mean similarity in species composition between the understory vegetation samples was relatively high at 0.560 (Table 3), and ranged from 0.435 (between samples collected under the inside canopy of Z. spina-Christi and outside canopy of A. robusta) to 0.740 (between samples collected under the outside canopy of Z. spina-Christi and inside canopy of Z. spina-Christi).