Workflows

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

Support-Vector-Machine (SVM) based data cl... (2)

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

Created: 2010-05-24 | Last updated: 2010-05-24

Credits: Wei Tan

Ice Class Map pixel analysis (NERSC) (1)

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NERSC ice classification workflow. Avaible images for a specific date will be fecthed from the WPS service, and their color table changed to allow for a user to easly identify specific areas. Statistical analysis also run using the r.stats module. Worflow uses a list of image, the list will flow thru the workflow for process resulting in mutiple outputs

Created: 2011-11-02 | Last updated: 2011-11-02

Credits: Jorgejesus

date filter for ice Class Map service (NERSC) (1)

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Workflow to filter available dates with ice classification images. Service provided by NERCS. Dates are filtered using a simple regular expression

Created: 2011-11-02 | Last updated: 2011-11-04

Credits: Jorgejesus