Learn R Programming

DysPIA (version 1.3)

Dysregulated Pathway Identification Analysis

Description

It is used to identify dysregulated pathways based on a pre-ranked gene pair list. A fast algorithm is used to make the computation really fast. The data in package 'DysPIAData' is needed.

Copy Link

Version

Install

install.packages('DysPIA')

Monthly Downloads

275

Version

1.3

License

GPL (>= 2)

Maintainer

Limei Wang

Last Published

July 10th, 2020

Functions in DysPIA (1.3)

setUpBPPARAM

setUpBPPARAM
DysGPS_p53

Example vector of DysGPS in p53 data.
calcDyspiaStatCumulative

Calculates DysPIA statistic values for all the prefixes of a gene pair set
calcDyspiaStatCumulativeBatch

Calculates DysPIA statistic values for the gene pair sets
calEdgeCorScore_ESEA

calEdgeCorScore_ESE
calcDyspiaStat

calcDyspiaStat: Calculates DysPIA statistics
DyspiaRes_p53

Example list of DysPIA result in p53 data.
DysPIA

DysPIA: Dysregulated Pathway Identification Analysis
DyspiaSig

DyspiaSig
class.labels_p53

Example vector of category labels.
gene_expression_p53

Example matrix of gene expression value.
DyspiaSimpleImpl

DyspiaSimpleImpl
DysGPS

DysGPS: Calculates Dysregulated gene pair score (DysGPS) for each gene pair
sample_background

Example list of gene pair background.