MGsforA {debCAM} | R Documentation

## Marker genes detected by CAM for estimating A

### Description

This function returns marker genes detected by CAM for estimating A.

### Usage

    MGsforA(CAMResult = NULL, K = NULL, PrepResult = NULL,
      MGResult = NULL, corner.strategy = 2)

### Arguments

`CAMResult` | Result from `CAM`.
`K` | The candidate subpopulation number.
`PrepResult` | An object of class "CAMPrepObj" from `CAMPrep`.
`MGResult` | An object of class "CAMMGObj" from `CAMMGCluster`.
`corner.strategy` | The method to detect corner clusters. 1: minimum sum of margin-of-errors; 2: minimum sum of reconstruction errors. The default is 2.

### Details

This function needs to specify CAMResult and K, or PrepResult and MGResult. The returned marker genes are those used by CAM for estimating A. To obtain a more complete marker gene list, please refer to `MGstatistic`.

### Value

A list of vectors, each of which contains marker genes for one subpopulation.

### Examples

    #obtain data and run CAM
    data(ratMix3)
    data <- ratMix3$X
    rCAM <- CAM(data, K = 3, dim.rdc= 3, thres.low = 0.30, thres.high = 0.95)
    #obtain marker genes detected by CAM for estimating A
    MGlist <- MGsforA(rCAM, K = 3)

    #obtain data and run CAM step by step
    rPrep <- CAMPrep(data, dim.rdc= 3, thres.low = 0.30, thres.high = 0.95)
    rMGC <- CAMMGCluster(3, rPrep)
    #obtain marker genes detected by CAM for estimating A
    MGlist <- MGsforA(PrepResult = rPrep, MGResult = rMGC)

[Package debCAM version 1.12.0 Index]