myExperiment - Content

All content

« Previous 1 2 3 4 5 Next »

Results per page:

Sort by:

Showing 46 results. Use the filters on the left and the search box below to refine the results.

User: Marco Roos

Remove all filters

Taverna 2

Uploader

Marco Roos

Match gene lists based on information in l... (7)

Download

[THIS WORKFLOW IS IN BETA STAGE] This workflow computes the match between two lists of Entrez Gene Identifiers by means of concept profile matching (Jelier et al., van Haagen et al.). The result of this is a list of concepts ordered by their matching score (the length of the list set by maxMatchNr). Of this list the summed scores are explained by computing the concepts that contribute most to the combination of the matching genes. Example to explain (by analogy): When a group of informatic...

Created: 2012-04-17 | Last updated: 2012-04-25

Credits: Marco Roos Reinout van Schouwen Eleni Kristina Hettne BioSemantics

Attributions: Match concept profiles Explain concept scores

Creator

Marco Roos

View

wf4ever Deliverable 6.3 Pack

Created: 2011-12-02 09:31:26 | Last updated: 2011-12-02 10:21:03

This pack contains (references to) the workflows for GWAS analysis by workflows that perform pathway and GO analysis and biosemantics data interpretation (a special form of text mining). This pack aggregates the deliverable materials for month 8 for Work Package 6. The workflows have not been published in the scientific domain yet, so its content cannot yet be made public. They are available upon request, in particular for reviewers. Please contact Kristina Hettne or Marco Roos (see credit...

6 items in this pack

Comments: 0 | Viewed: 84 times | Downloaded: 0 times

Tags:

Taverna 2

Uploader

Marco Roos

Match concept profiles (6)

Download

Purpose of workflow: The workflow can be used to match a set of concept profiles with another set of concept profiles. Result: A list of concepts ordered by their match to the query concept profiles.

Created: 2011-12-02 | Last updated: 2014-07-14

Credits: Marco Roos Kristina Hettne Martijn Schuemie Reinout van Schouwen

Taverna 2

Uploader

Marco Roos

Gene expression interpretation by the Glob... (1)

This workflow adds meaning to gene expresion values by performing a standard and a literature weighted Global Test. Gene expression is expected to be from Affymetrix microarrays, for which an RMA normalization and entrez Gene ID mapping/summation is performed. Original workflow is by Dennis Leenheer, edits by Marco Roos. Scripts by Kristina Hettne, acknowledging Rob Jellier, Jelle Goeman, and Peter-Bram 't Hoen. The workflow was created for the LUMC BioSemantics group, part of the Human Gen...