trainForest: Train randomForest on a dataset.

Description Usage Arguments Value Author(s) References See Also

View source: R/function_trainForest.R

Description

Cluster cells using the spearman rank correlation as a similarity metric and (1-correlation)/2 as a distance metric.

Usage

1
trainForest(data, groups, numTrees = 1000, rankData = T)

Arguments

data

Dataframe or matrix containing the counts (genes x cells). It is recommended to use only the HVG for this.

groups

Vector specifying which group each cell belongs to. Cells should be as names and group ID as vector content.

numTrees

Number of trees to grow in randomForest. Default: 1000. Cells should be as names and group ID as vector content.

rankData

Logical. Rank data before training based on counts? Default: TRUE

Value

list with randomForest object (RForest) and a vector of the final genes used for training.

Author(s)

Blanca Pijuan Sala.

References

randomForest.

See Also

randomForest, allocateCellsForest


BPijuanSala/anSeq documentation built on Oct. 10, 2018, 7:20 p.m.