Content from the Text mining network group

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Supporting material for Roos et al., BMC Bioinformat...

Created: 2009-05-15 15:45:32 | Last updated: 2011-08-11 10:01:23

5 items in this pack

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Concept profile analysis using Anni Web services

Created: 2013-02-06 19:11:26 | Last updated: 2014-07-15 08:17:33

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Ondex and Taverna Tutorial

Created: 2009-10-22 13:50:53 | Last updated: 2009-10-22 13:51:51

Credits: George

License: Creative Commons Attribution-Share Alike 3.0 Unported License

File type: Word document

Comments: 0 | Viewed: 98 times | Downloaded: 64 times

Prioritize gene list for the Cure game (1)

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This workflow prioritizes a gene list according to its association with the 'concept_id'. Here we are prioritizing a gene list against breast cancer, in order to try to beat Barney in the game The Cure (http://genegames.org/cure/). Note: Before running this workflow the gene names supplied in the game first needs to be mapped to Entrez gene identifiers. This can be done using either this workflow http://www.myexperiment.org/workflows/3722 or a by performing a search in the NCBI Entrez gene d...

Created: 2015-04-29

Credits: Kristina Hettne Eleni

Attributions: Prioritize gene list

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Text Mining Workflows

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

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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

Pathway to Pubmed (2)

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This workflow takes in a list of KEGG pathway descriptions and searches the PubMed database for corresponding articles. Any matches to the pathways are then retrieved (abstracts only). These abstracts are then returned to the user.

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

Credits: Paul Fisher

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

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

Gene to Pubmed (3)

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This workflow takes in a list of gene names and searches the PubMed database for corresponding articles. Any matches to the genes are then retrieved (abstracts only). These abstracts are then returned to the user.

Created: 2010-07-05 | Last updated: 2011-01-26

Credits: Paul Fisher