Peter Li's Workflows

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Showing 6 results. Use the filters on the left and the search box below to refine the results.
Tag: r
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Workflow Identification of differential genes using... (1)

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This workflow starts by retrieving the names of microarray datasets from the Maxd database. The user has to select sets of control and test data which are then analysed by the LIMMA Bioconductor package in an R script. This produces a list of significant differentially expressed genes which is then analysed using the Go Term Finder tool to generate a PDF report of the common GO terms associated with the genes. A CSV file containing the list of sign...

Created: 2008-07-02 | Last updated: 2008-07-02

Credits: User Peter Li

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Workflow Identification of differential genes using... (2)

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This workflow starts by retrieving the names of microarray datasets from the Maxd database. The user has to select sets of control and test data for analysis using t-tests by R. A list of significant differentially expressed genes is then analysed using the Go Term Finder tool which generates a list of GO terms associated with the genes. A CSV file containing the list of significant genes is also generated.

Created: 2008-04-15 | Last updated: 2008-07-01

Credits: User Peter Li

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Workflow SBML model parameterisation (1)

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This workflow parameterises an SBML model generated by the qualitative SBML model construction workflow

Created: 2010-03-26

Credits: User Peter Li

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Workflow Sage bionetwork demo workflow (1)

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This workflow performs key driver analysis and displays the results in Cytoscape.

Created: 2010-03-22

Credits: User Peter Li

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Workflow Invocation of Gene Pattern modules using R (1)

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 A workflow to invoke a Gene Pattern module using an R script. Note that a FTP URL for the data to be analysed is required, not the data itself!

Created: 2010-03-19 | Last updated: 2010-03-19

Credits: User Peter Li

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Workflow Calculating frequencies of gene expression... (1)

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This workflow retrieves data from the MaxD microarray database and calculates the frequencies of gene expression levels using an R script

Created: 2010-03-15

Credits: User Peter Li

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