User: James Eales

Name: James Eales

Joined: Wednesday 21 November 2007 @ 08:48:01 (GMT)

Last seen: Monday 19 March 2012 @ 09:39:22 (GMT)

Email (public): james.eales [at] manchester.ac.uk

Website: http://www.bioinf.manchester.ac.uk/robertson/jeales/

Location: Manchester, United Kingdom

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Creator: James Eales	Creating a focused corpus of factual outcomes from biomedical experiments 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 1 item in this pack Comments: 0 \| Viewed: 9 times \| Downloaded: 8 times Tags: classifier \| data mining \| elico \| experimental outcomes \| rapidminer \| text mining	View Download
Creator: James Eales	RapidMiner plugin for Taverna videos and descriptions 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. 5 items in this pack Comments: 0 \| Viewed: 32 times \| Downloaded: 16 times Tags: assays \| e-lico \| elico \| geo \| rapidminer \| svm	View Download
Creator: James Eales	Article title classification: kidney factomics Created: 21/04/11 @ 15:20:20 \| Last updated: 13/12/11 @ 16:02:52 This pack contains files relevant to our work on extracting facts from article titles 7 items in this pack Comments: 0 \| Viewed: 8 times \| Downloaded: 3 times This Pack has no tags!	View Download
Creator: James Eales	Core text mining workflows Created: 19/02/10 @ 10:12:33 \| Last updated: 13/12/11 @ 16:03:17 This pack contains workflows we have created to support core text mining tasks. We currently provide workflows to do these tasks Loading documents (text or PDF) PDF to text conversion Sentence splitting Text cleaning (ASCII or XML-valid) Term recognition (using NaCTeM service TerMine) 7 items in this pack Comments: 0 \| Viewed: 244 times \| Downloaded: 74 times Tags: e-lico \| text mining \| workflow component	View Download