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Created: 17/03/10 @ 10:53:02
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License: Creative Commons Attribution-Share Alike 3.0 Unported License
Workflow takes in a text file of microRNAs from microCOSM (at the EBI) and outputs a list of KEGG pathway information, including genes in pathways and pathway abstracts from PubMed. The results can then be used in various text mining applications/workflows to rank the results against a given disease.Workflow takes in a file of microRNAs
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Created: 26/01/11 @ 11:10:40 | Last updated: 11/01/12 @ 14:32:54 License: Creative Commons Attribution-No Derivative Works 3.0 Unported License
This workflow reads a GFF file of miRNA cooridinates and uses BioMart to search human ensemble genes for the gene that codes for the miRNA. The workflow returns a list of miRNAid, chromosome, start, stop, strand, entrez gene id, gene name, gene strand. Example input file here: ftp://mirbase.org/pub/mirbase/CURRENT/genomes/hsa.gff
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Created: 30/01/12 @ 13:54:07 License: Creative Commons Attribution-No Derivative Works 3.0 Unported License
This workflow provides transformation of an
user/item description attribute set, into a format required by attribute based k-NN operators of the Recommender extension.
See:
http://zel.irb.hr/wiki/lib/exe/fetch.php?media=del:projects:elico:recsys_manual_v1.1.pdf
to learn about formats of datasets required by
Recommender extension.
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Created: 06/06/11 @ 10:17:52 | Last updated: 13/12/11 @ 16:02:04
This pack contains videos the show how to use various parts of the RapidMiner plugin for Taverna.
The videos demonstrate how to build a Taverna workflow which collects a GEO dataset, uploads it to RapidAnalytics, trains a classifier on one half of the data and tests it on the other half. This classification process can be used to gauge how well mutant and control assays agree across experimental repeats.
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Created: 28/06/11 @ 11:19:04 | Last updated: 13/12/11 @ 16:02:16
This pack contains resources and supplementary files for the submission to the MIND2011 workshop titled "Creating a focused corpus of factual outcomes from biomedical experiments" by James Eales, George Demetriou and Robert Stevens
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