flow_svm: Flow Support Vector Machine

In kgellatl/SignallingSingleCell: Network Analysis for single cell RNA sequencing Data (sc-RNASeq)

Description

This function will take an expression set class after flow sorting, and train to identify cells that failed to pass the gates.

Usage

flow_svm(input, pcnames)

Arguments

input

the input data ex_sc

Details

This will take an expression set class and classify cells via SVM that did not pass the gates. Note that the SVM parameters are all defaults. You are encourages to modify this function to suit your purposes. This will do SVM training and classification on the Components that were fed INTO tSNE.

Examples

flow_svm(input = sc_dat)

kgellatl/SignallingSingleCell documentation built on Dec. 29, 2021, 4:12 p.m.