detectGenes

the CellDataSet upon which to perform this operation

min_expr

Sets the global expression detection threshold to be used with this CellDataSet.
Counts how many cells each feature in a CellDataSet object that are detectably expressed
above a minimum threshold. Also counts the number of genes above this threshold are
detectable in each cell.

Monocle performs differential expression and time-series analysis for single-cell expression experiments. It orders individual cells according to progress through a biological process, without knowing ahead of time which genes define progress through that process. Monocle also performs differential expression analysis, clustering, visualization, and other useful tasks on single cell expression data.  It is designed to work with RNA-Seq and qPCR data, but could be used with other types as well.

detectGenes: Sets the global expression detection threshold to be used with this CellDataSet. Counts how many cells each feature in a CellDataSet object that are detectably expressed above a minimum threshold. Also counts the number of genes above this threshold are detectable in each cell.

Description

Usage

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Value

Examples