dot-imputeData: Imputing missing samples
In nlhuong/vistimeseq: Analysis for short time-series data

Description Usage Arguments Details Value

Estimates assay values for missing timepoints

1	.imputeData(raw.data, sample.data)

`raw.data`	Raw input data with columns corresponding to samples (observations) and rows to features
`sample.data`	Optional. A `data.frame` object were rows are samples (observations) and columns are sample attributes (e.g. group/condition, replicate, timepoint)

Sometimes datasets include a missing sample. Here we impute the expression values by taking the mean expression of two samples from the same group and replicate (same individual) at two times surrounding the time of the missing sample

list of modified raw.data and sample.data

nlhuong/vistimeseq documentation built on Sept. 4, 2021, 2:41 a.m.