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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.
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Version
Version
1.3
1.2
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)
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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.