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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 Madduri 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: 0.0 / 5 (0 ratings) | Versions: 7 | Reviews: 0 | Comments: 0 | Citations: 2

Viewed: 352 times | Downloaded: 129 times

Original Uploader

Stian Soiland-Reyes

Using CQL to query protein sequence data (v1)

Created: 07/05/09 @ 14:28:59

Credits: Stian Soiland-Reyes

Attributions: Using CQL to query protein sequence data

License: Creative Commons Attribution-Share Alike 3.0 Unported License

To query protein sequence infomation out of 3 caGrid data services: caBIO, CPAS and GridPIR Adapted from http://www.myexperiment.org/workflows/600

Rating: 0.0 / 5 (0 ratings) | Versions: 1 | Reviews: 0 | Comments: 0 | Citations: 0

Viewed: 113 times | Downloaded: 51 times

Original Uploader

Wei Tan

Using CQL to query protein sequence data (v1)

Created: 05/12/08 @ 22:03:03 | Last updated: 14/07/09 @ 19:32:17

Credits: Wei Tan

License: Creative Commons Attribution-Share Alike 3.0 Unported License

To query protein sequence infomation out of 3 caGrid data services: caBIO, CPAS and GridPIR. Scientific value To query protein sequence information out of 3 caGrid data services: caBIO, CPAS and GridPIR. To analyze a protein sequence from different data sources. Steps Querying CPAS and get the id, name, value of the sequence. Querying caBIO and GridPIR using the id or name obtained from CPAS.

Rating: 0.0 / 5 (0 ratings) | Versions: 1 | Reviews: 0 | Comments: 0 | Citations: 0

Viewed: 163 times | Downloaded: 43 times

Original Uploader

Wei Tan

An example workflow with WSRF service (v1)

Created: 28/07/09 @ 17:24:05

Credits: Wei Tan Stian Soiland-Reyes

License: Creative Commons Attribution-Share Alike 3.0 Unported License

An example workflow with WSRF service The service used is http://sidgrid.ci.uchicago.edu:8100/wsrf/services/CounterService The service is included in Globus toolkit installation (ws-core). If the it is down you can host your own and modify the workflow definition file to point to your own. The workflow first creates a counter instance and adds the value 10 for two times to the same counter. Therefore the result should be 20.

Rating: 0.0 / 5 (0 ratings) | Versions: 1 | Reviews: 0 | Comments: 0 | Citations: 0

Viewed: 120 times | Downloaded: 26 times

Original Uploader

Wei Tan

genePattern data preprocessing (v2)

Created: 24/05/10 @ 22:42:38 | Last updated: 24/05/10 @ 22:42:39

Credits: Wei Tan

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: 44 times | Downloaded: 11 times