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Phenotype Concept Profile - Terms

Created: 2009-08-11 13:05:07 | Last updated: 2009-08-11 13:06:51

Credits: Paul Fisher

License: Creative Commons Attribution-Share Alike 3.0 Unported License

File type: Plain text

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Pathway Term Enrichment Scores

Created: 2009-08-11 14:23:49

Credits: Paul Fisher

License: Creative Commons Attribution-Share Alike 3.0 Unported License

File type: Plain text

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Concept Profile of phenotype Chorea

Created: 2014-10-20 08:34:10

Credits: Marco Roos BioSemantics

License: Creative Commons Attribution-Share Alike 3.0 Unported License

File type: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet

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Concept Web Alliance (general)

Unique name: CWA
Created: Monday 27 July 2009 12:48:15 (UTC)

4 shared items   |   2 announcements

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Text Mining Workflows

Created: 2010-12-08 11:55:03 | Last updated: 2011-02-01 11:33:11

5 items in this pack

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RD-Connect D4.03 Deliverable Pack

Created: 2014-10-19 21:05:07 | Last updated: 2014-10-20 16:34:40

5 items in this pack

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Cosine vector space (2)

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This workflow calculates the cosine vector space between two sets of corpora. The workflow then removes any null values from the output. this is some extra text vbeing added

Created: 2010-12-08 | Last updated: 2011-01-11

Credits: Paul Fisher

Attributions: Cosine vector space

Rank Phenotype Terms (2)

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This workflow counts the number of articles in the pubmed database in which each term occurs, and identifies the total number of articles in the entire PubMed database. It also identified the total number of articles within pubmed so that a term enrichment score may be calculated. The workflow also takes in a document containing abstracts that are related to a particular phenotype. Scientiifc terms are then extracted from this text and given a weighting according to the number of terms that ...

Created: 2010-12-08 | Last updated: 2011-01-11

Credits: Paul Fisher

Attributions: Rank Phenotype Terms

Extract Scientific Terms (2)

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This workflow takes in a document containg text and removes and non-ascii characters. The cleaned text is then sent to a service in dresden to extract all scientific terms. These terms represent a profile for the input document. Any null values are also removed.

Created: 2010-12-08 | Last updated: 2011-01-11

Credits: Paul Fisher

Rank Phenotype Terms (1)

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This workflow counts the number of articles in the pubmed database in which each term occurs, and identifies the total number of articles in the entire PubMed database. It also identified the total number of articles within pubmed so that a term enrichment score may be calculated. The workflow also takes in a document containing abstracts that are related to a particular phenotype. Scientiifc terms are then extracted from this text and given a weighting according to the number of terms that ...

Created: 2011-02-01 | Last updated: 2011-02-01

Credits: Paul Fisher

Attributions: Cosine vector space Rank Phenotype Terms

Pathway and Gene to Pubmed (2)

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This workflow takes in a list of gene names and KEGG pathway descriptions, and searches the PubMed database for corresponding articles. Any matches to the genes are then retrieved (abstracts only). These abstracts are then used to calculate a cosine vector space between two sets of corpora (gene and phenotype, or pathway and phenotype). The workflow counts the number of articles in the pubmed database in which each term occurs, and identifies the total number of articles in the entire PubMe...

Created: 2011-02-10 | Last updated: 2011-02-18

Credits: Paul Fisher

Attributions: Cosine vector space Extract Scientific Terms Rank Phenotype Terms Cosine vector space Rank Phenotype Terms Pathway to Pubmed Extract Scientific Terms Gene to Pubmed

Match concept to HPO profiles (1)

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This workflow matches a query concept to the list of Human Phenotypes. The Human Phenotypes are the subset of the Human Phenotype Ontology for which we have a mapped UMLS concept available and a concept profile. HPO-UMLS mapping: Winnenburg, R., & Bodenreider, O. (2014). Coverage of Phenotypes in Standard Terminologies. In Proceedings of the ISMB’2014 SIG meeting “BioLINK.” Retrieved from http://phenoday2014.bio-lark.org/pdf/5.pdf Concept Profile Database: July 2012

Created: 2014-10-20

Credits: Marco Roos BioSemantics

Attributions: Match concept profiles Get concept information