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Support-Vector-Machine (SVM) based data classification

Workflow Entry: Support-Vector-Machine (SVM) based data classification

Created at: 24/05/10 @ 22:34:31 Last updated: 24/05/10 @ 22:34:32

Version 2 (latest) (of 2)

Version created on: 24/05/10 @ 22:34:31 by: Wei Tan | Revision comments Expand

Title: Support-Vector-Machine (SVM) based data classification

Type: Taverna 2

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Description

Support-Vector-Machine based data classification

Support-Vector-Machine based data classification using genePattern SVM service, the input <data /> should be in genePattern STATML format.

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http://www.myexperiment.org/workflows/965/download?version=2
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Workflow Components

Authors (2)

Titles (1)

Descriptions (2)

Inputs (4)

Name	Description
testData	test data set
testClass	Class memebership information for test data
trainingClass	class memebership information for training data
trainingData	training data set

Processors (6)

Name	Type	Description
parametersXML10	xmlsplitter
trainingDataXML	xmlsplitter
testClassXML	xmlsplitter
PerformeSVM	wsdl
testDataXML	xmlsplitter
trainingClassXML	xmlsplitter

Beanshells (0)

Outputs (1)

Name	Description
SVM_Result

Datalinks (10)

Source	Sink
trainingDataXML:output	parametersXML10:trainingData
testDataXML:output	parametersXML10:testData
trainingClassXML:output	parametersXML10:trainingClass
testClassXML:output	parametersXML10:testClass
trainingData	trainingDataXML:Data
testClass	testClassXML:ClassMembership
parametersXML10:output	PerformeSVM:parameters
testData	testDataXML:Data
trainingClass	trainingClassXML:ClassMembership
PerformeSVM:parameters	SVM_Result

Coordinations (0)

Information Workflow Type

Taverna 2

Information Original Uploader

Wei Tan

Information License

All versions of this Workflow are licensed under:

Information Credits (1)

(People/Groups)

Wei Tan

Information Attributions (0)

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Information Tags (5)

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Information Statistics

545 viewings

594 downloads

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Citations (0)

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Version History

Earliest Version:
[1] - Support-Vector-Machine (SVM) based data classification

Created on: Monday 23 November 2009 @ 18:16:23 (GMT)

Created by: Wei Tan

Revision comments:

None

Latest Version:
[2] - Support-Vector-Machine (SVM) based data classification

Created on: Monday 24 May 2010 @ 22:34:31 (GMT)

Created by: Wei Tan

Revision comments:

change genepattern SVM service URL to http://node255.broadinstitute.org:6060

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Other workflows that use similar services (1)

Taverna 2

Original Uploader

Wei Tan

Lymphoma type prediction based on microarray data (v7)

Created: 11/05/10 @ 19:04:30 | Last updated: 11/05/10 @ 19:04:32

Credits: Wei Tan Ravi Stian Soiland-Reyes

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

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