KMDA: Kernel-Based Metabolite Differential Analysis
Version 1.0

Compute p-values of metabolite differential expression analysis using the kernel-based approach.

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AuthorXiang Zhan and Debashis Ghosh
Date of publication2015-04-01 07:48:17
MaintainerXiang Zhan <xiangzhan9@gmail.com>
LicenseGNU General Public License
Version1.0
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("KMDA")

Man pages

dkernel: Distance-based Kernel
dscore: Distance-based Kernel Score Test
hcc: Metabolomic Study on Hepatocellular Carcinoma (HCC)
invlogit: Inverse Logit Function
KMDA-package: Kernel-Based Metabolomic Differential Analysis
mdist: Metabolite Distance Metric
pearson.group: Grouping Based on Pearson Correlation Coefficients
skernel: Stratified Kernel
spearman.group: Grouping Based on Spearman Correlation Coefficients
sscore: Distance-based Kernel Score Test
tr: Trace of A Matrix

Functions

KMDA Man page
KMDA-package Man page
dkernel Man page Source code
dscore Man page Source code
hcc Man page
invlogit Man page Source code
mdist Man page Source code
pearson.group Man page Source code
skernel Man page Source code
spearman.group Man page Source code
sscore Man page Source code
tr Man page Source code

Files

NAMESPACE
data
data/hcc.rda
R
R/dscore.R
R/sscore.R
R/mdist.R
R/skernel.R
R/invlogit.R
R/pearson.group.R
R/tr.R
R/dkernel.R
R/spearman.group.R
MD5
DESCRIPTION
man
man/spearman.group.Rd
man/dkernel.Rd
man/hcc.Rd
man/invlogit.Rd
man/KMDA-package.Rd
man/sscore.Rd
man/skernel.Rd
man/pearson.group.Rd
man/mdist.Rd
man/tr.Rd
man/dscore.Rd
KMDA documentation built on May 20, 2017, 5:44 a.m.