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InviteWorkflow Entry: genePattern data preprocessing
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 Version 2 (latest)
(of 2)
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Version created on:
24/05/10 @ 22:42:38
by:
Wei Tan
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Title: genePattern data preprocessing
Type: Taverna 2
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Description
preprocess data set using genePattern preProces service, the input <data /> should be in genePattern STATML format. Configuration parameters can be adjusted by changing the default
preprocess data set using genePattern preProces service, the input <data /> should be in genePattern STATML format.
preprocess data set using genePattern preProces service, the input <data /> should be in genePattern STATML format. Configuration parameters can be adjusted by changing the string constants.
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Original Uploader |
Created: 11/05/10 @ 19:04:30 | Last updated: 11/05/10 @ 19:04:32
Credits:
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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Original Uploader |
Created: 14/08/10 @ 06:02:00 | Last updated: 14/08/10 @ 06:03:20
Credits:
License: Creative Commons Attribution-Share Alike 3.0 Unported License
preprocess data before it is sent to any GenePattern services.
Rating: 0.0 / 5 (0 ratings) | Versions: 1 | Reviews: 0 | Comments: 0 | Citations: 0 Viewed: 13 times | Downloaded: 13 times This Workflow has no tags! |
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Non-Information Resource URI: http://www.myexperiment.org/workflows/964
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