1. counts: normalized(e.g. TMM) or log-transformed reads count matrix from sequencing data (row:gene/feature, col:sample)
2. meta: meta data matrix containing predictor variables (row:sample, col:predictor)
3. threshold: proportion of the variation in read counts explained by k top PCs. This value determines the number of PCs to be used in pvca.
4. inter: TRUE/FALSE - include/do not include pairwise interactions of predictors
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