Package: Mulcom 1.57.0

Claudio Isella

Mulcom: Calculates Mulcom test

Identification of differentially expressed genes and false discovery rate (FDR) calculation by Multiple Comparison test.

Authors:Claudio Isella

# Install 'Mulcom' in R:

install.packages('Mulcom', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org'))

Uses libs:

Datasets:

On BioConductor:Mulcom-1.57.0(bioc 3.21)Mulcom-1.56.0(bioc 3.20)

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

Last updated 2 months agofrom:9ce9679015. Checks:OK: 1 WARNING: 8. Indexed: yes.

Help page	Topics
Affy Dataset	Affy
cross mapping table	AffyIlmn
MulCom Harmonic Mean	harmonicMean
Illumina Dataset	Illumina
Ilmn Dataset	Ilmn
significant gene list with limma in Affymetrix	limmaAffySymbols
significant gene list with limma in Illumina	limmaIlmnSymbols
MulCom Calculation	mulCalc
Identify the Mulcom candidate feature selection	mulCAND
Class MulCom Permutation	class:MULCOM_P MULCOM_P MULCOM_P-class
Class MulCom	class:MULCOM MULCOM MULCOM-class
significant gene list with limma in Illumina	mulcomGeneListIlmn
MulCom Delta	mulDELTA
MulCom Test Differential analysis	mulDiff
MulCom False Significant Genes	mulFSG
Mulcom Index for Monte Carlo Simlation	mulIndex
generates a consensus matrix from list of genes	mulInt
MulCom Mean Square Error	mulMSE
MulCom optimization	mulOpt
MulCom Parameter Optimization	mulOptPars
MulCom optimization Plot	mulOptPlot
MulCom Parameters Optimization	mulParOpt
MulCom Permutation	mulPerm
MulCom Permutation	mulPermC
MulCom Score Calculation	mulScores
MulCom Sum of Square Error	mulSSE
significant gene list with SAM in Affymetrix	samAffySymbols
significant gene list with SAM in Illumina	samIlmnSymbols
sam Parameter Optimization	samOptPars