Version 1
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Version created on:
23/11/09 @ 18:09:48
by:
Wei Tan
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Title: caArray data retrieving
Type: Taverna 2
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Description
Query all the gene expression data in a caArray experiment. Returns a evenly divided gene expression data set with corresponding class information. They ca be later used as training and test data set in many classification algorithms.
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Created: 11/05/10 @ 19:04:30 | Last updated: 11/05/10 @ 19:04:32
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License: Creative Commons Attribution-Share Alike 3.0 Unported License
Scientific value Using gene-expression patterns associated with DLBCL and FL to predict the lymphoma type of an unknown sample. Using SVM (Support Vector Machine) to classify data, and predicting the tumor types of unknown examples. Steps Querying training data from experiments stored in caArray. Preprocessing, or normalize the microarray data. Adding training and testing data into SVM service to get classification result.
Rating: 5.0 / 5 (1 rating) | Versions: 7 | Reviews: 0 | Comments: 0 | Citations: 3 Viewed: 610 times | Downloaded: 235 times Tags (11): |
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Non-Information Resource URI: http://www.myexperiment.org/workflows/963
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