Sentence examples for means analysis was from inspiring English sources

The optimal number of clusters for k means analysis was assessed using Scree plots.

All of other means analysis was performed using Mann-Whitney test.

The problem with Sigint is that whilst collecting and decrypting it is fairly straightforward, what it actually means (analysis) is rather more challenging.

The gap statistic and K means analysis were used to distinguish gene clusters as described previously [ 47, 48].

Then, following the Ward method, we determined that the number of conglomerates should be 4. Lastly, a k-means analysis was performed considering the identified number.

A restricted-mean analysis was performed and response times more than 2 standard deviations above the trial mean of the respective group were considered outliers, that is, invalid responses.

To identify clusters of genes that are co-expressed under different post-harvest conditions, a k-means analysis was performed to identify groups of genes with similar expression profiles.

A mask of the visually-responsive cortex (also used for the k-means analysis) was used to compute the similarity between the group maps only for the relevant regions.

A K-mean analysis was performed on the calculated characters.

K-mean analysis was used to generate up and down-regulated gene clusters for both groups.

Hypergeometric mean analysis was performed as described by Chung and colleagues [ 22]; this comparison gives the likelihood of finding co-occurrences between these gene sets by chance.