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Tag: e-lico

Group: e-LICO

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Creator

Matko BoÅ¡njak

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e-LICO recommender workflows

Created: 2011-03-15 15:33:48 | Last updated: 2012-01-28 19:39:06

This pack contains recommender system workflows created for the purpose of e-LICO project.

6 items in this pack

Comments: 0 | Viewed: 287 times | Downloaded: 158 times

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Taverna 2

Uploader

James Eales

Clean plain text (1)

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This workflow will remove any XML-invalid characters (these characters often appear in the output of PDF to text software) from any text supplied to the input port. This is a workflow component, designed to be used as a nested workflow inside a larger text mining or text processing workflow.

Created: 2010-02-18 | Last updated: 2011-12-13

Credits: James Eales

Taverna 2

Uploader

Simon Jupp

miRNA GFF to entrez gene (1)

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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

Created: 2011-01-26 | Last updated: 2012-01-11

Creator

James Eales

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RapidMiner plugin for Taverna videos and descriptions

Created: 2011-06-06 10:17:52 | Last updated: 2011-12-13 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.

5 items in this pack

Comments: 0 | Viewed: 144 times | Downloaded: 62 times

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assays
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e-lico
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elico
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geo
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rapidminer
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svm

Taverna 2

Uploader

James Eales

One sentence per line (1)

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This workflow accepts a plain text input and provides a single text document per input containing one sentence per line. Newline characters are removed from the original input. The OpenNLP sentence splitter is used to split the text, this is provided by University of Manchester Web Services.