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InviteGroup: BioSemantics
Group for members of the BioSemantics group and their close collaborators.
Created at: Thursday 30 June 2011 @ 13:06:48 (GMT)
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Created: 02/12/11 @ 09:31:26 | Last updated: 02/12/11 @ 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...
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Created: 10/05/10 @ 16:21:09 | Last updated: 20/03/12 @ 17:16:11
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License: Creative Commons Attribution-Share Alike 3.0 Unported License
This protein discovery workflow extracts protein names from documents retrieved from MedLine based on a user Query (cf Apache Lucene syntax). The protein names are filtered by checking if there exists a valid UniProt ID for the given protein name.
Rating: 0.0 / 5 (0 ratings) | Versions: 7 | Reviews: 0 | Comments: 1 | Citations: 0 Viewed: 290 times | Downloaded: 130 times Tags (12): |
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Created: 07/02/12 @ 11:05:50 | Last updated: 21/03/12 @ 15:10:04
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License: Creative Commons Attribution-Share Alike 3.0 Unported License
This workflow demonstrates the explainScores method from the Anni web services.
Rating: 0.0 / 5 (0 ratings) | Versions: 2 | Reviews: 0 | Comments: 0 | Citations: 0 Viewed: 31 times | Downloaded: 11 times Tags (3): |
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Created: 17/04/12 @ 08:55:46 | Last updated: 25/04/12 @ 07:54:26
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License: Creative Commons Attribution-Share Alike 3.0 Unported License
[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...
Rating: 0.0 / 5 (0 ratings) | Versions: 7 | Reviews: 0 | Comments: 0 | Citations: 0 Viewed: 27 times | Downloaded: 6 times Tags (11): |
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Note: some items may not be visible to you, due to viewing permissions.
Workflow
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Original Uploader |
Created: 17/04/12 @ 08:55:46 | Last updated: 25/04/12 @ 07:54:26
Credits:
Attributions:
License: Creative Commons Attribution-Share Alike 3.0 Unported License
[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...
Rating: 0.0 / 5 (0 ratings) | Versions: 7 | Reviews: 0 | Comments: 0 | Citations: 0 Viewed: 27 times | Downloaded: 6 times Tags (11): |
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