Version 1
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Version created on:
14/08/10 @ 06:02:00
by:
Wei Tan
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Last edited on: 14/08/10 @ 06:03:20 by: Wei Tan
Title: caArray
Type: Taverna 2
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Description
preprocess data before it is sent to any GenePattern services.
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Original Uploader |
Created: 24/05/10 @ 22:42:38 | Last updated: 24/05/10 @ 22:42:39
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License: Creative Commons Attribution-Share Alike 3.0 Unported License
preprocess data set using genePattern preProces service, the input should be in genePattern STATML format. Configuration parameters can be adjusted by changing the default preprocess data set using genePattern preProces service, the input should be in genePattern STATML format.preprocess data set using genePattern preProces service, the input should be in genePattern STATML format. Configuration parameters can be adjusted by changing the string constants.
Rating: 0.0 / 5 (0 ratings) | Versions: 2 | Reviews: 0 | Comments: 0 | Citations: 0 Viewed: 59 times | Downloaded: 31 times Tags (5): |
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Original Uploader |
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/1478
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