Description Usage Arguments Value Examples
View source: R/filter_functions.R
Applies a filter where a t-test is carried out on gene activity levels between time points. The number of significant changes between time points is found. If there is a sufficient number of significant changes and close to as many positive changes as negative changes then the gene is included in the filtered dataset.
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dataset |
A transcriptomics dataset. First columns should be gene names. All other columns should be expression levels. |
maxdifference |
The maximum difference between the number of signifcant positive t statistic and the number of signifcant negative t statistic. |
minchanges |
The minimum number of significant changes found via t-tests for the gene to be included in the filtered dataset. |
psignificance |
The maximum p-value for which a result of a t-test is classed as significant. |
nthreads |
Number of processor threads to be used for calculating the distance matrix. If not specified then the maximum number of logical cores are used. |
Returns a filtered transcriptomics dataset
1 | filterdf <- TFilter(Laurasmappings, nthreads = 2)
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