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b/OmicsFold/man/low.count.removal.Rd |
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% Generated by roxygen2: do not edit by hand |
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% Please edit documentation in R/MixMC.R |
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\name{low.count.removal} |
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\alias{low.count.removal} |
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\title{Remove features with low counts across samples} |
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\usage{ |
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low.count.removal(otu.counts, percent = 0.01) |
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} |
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\arguments{ |
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\item{otu.counts}{OTU count data frame of size n (sample) x p (OTU).} |
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\item{percent}{Cutoff chosen in percent, default to 0.01.} |
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} |
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\value{ |
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Data frame of input data, filtered to omit features below the count |
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proportion threshold. |
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} |
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\description{ |
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Prefilter omics analysis input data in count form (e.g. OTUs) to remove |
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features which have a total count less than a (small) proportion of the total |
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measured counts. The default threshold is one part in 10,000 (0.01\%) - this |
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is usually sufficient to remove very low-count variables, which will be |
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unreliable features for model prediction. |
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} |
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\examples{ |
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\dontrun{ |
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low.count.filter(raw.count) |
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} |
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} |