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Input CQL of the lymphoma prediction workflow

Created: 2009-04-23 17:25:04 | Last updated: 2011-09-03 21:57:43

Credits: Wei Tan

Attributions: Lymphoma type prediction based on microarray data

License: Creative Commons Attribution-Share Alike 3.0 Unported License

File type: XML

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Output of the lymphoma prediction workflow

Created: 2009-04-23 17:37:16 | Last updated: 2011-09-03 21:56:29

Credits: Wei Tan

Attributions: Lymphoma type prediction based on microarray data

License: Creative Commons Attribution-Share Alike 3.0 Unported License

File type: XML

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Output of the lymphoma prediction workflow (on Ubunt...

Created: 2009-04-23 20:06:51

Credits: Wei Tan

License: Creative Commons Attribution-Share Alike 3.0 Unported License

File type: XML

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Lymphoma type prediction based on microar... (7)

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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.

Created: 2010-05-11 | Last updated: 2010-05-11

Credits: Wei Tan Ravi Stian Soiland-Reyes