testData
(Package: iterativeBMA) :
Sample Test Data for the Iterative BMA Algorithm
This is an adapted leukemia (ALL, AML) ExpressionSet from Golub et al. (1999). This ExpressionSet consists of the expression levels from 38 ALL or AML samples (rows), and 100 genes (columns). This dataset is used as an example test data in our examples.
● Data Source:
BioConductor
● Keywords: datasets
● Alias: testData
●
0 images
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trainClass
(Package: iterativeBMA) :
Sample Training Data for the Iterative BMA Algorithm
This is an adapted leukemia (ALL, AML) dataset from Golub et al. (1999). This is a zero-one vector for 38 training samples. Class 0 represents an ALL sample, while class 1 represents an AML sample.
● Data Source:
BioConductor
● Keywords: datasets
● Alias: trainClass
●
0 images
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trainData
(Package: iterativeBMA) :
Sample Training Data for the Iterative BMA Algorithm
This is an adapted leukemia (ALL, AML) ExpressionSet from Golub et al. (1999). This ExpressionSet consists of the expression levels from 38 ALL or AML samples (rows), and 100 genes (columns). This dataset is used as an example training data in our examples.
● Data Source:
BioConductor
● Keywords: datasets
● Alias: trainData
●
0 images
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testCens
(Package: iterativeBMAsurv) :
Sample Test Data for the Iterative BMA Algorithm for Survival Analysis
This is an diffuse large B-cell lymphoma (DLBCL) dataset from Rosenwald et al. (2002). This is a vector of censor information for 36 test samples. In this vector, 0 = censored and 1 = uncensored.
● Data Source:
BioConductor
● Keywords: datasets
● Alias: testCens
●
0 images
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testData
(Package: iterativeBMAsurv) :
Sample Test Data for the Iterative BMA Algorithm for Survival Analysis
This is an adapted diffuse large B-cell lymphoma (DLBCL) dataset from Rosenwald et al. (2002). This data matrix consists of the expression levels from 36 DLBCL samples (rows), and 100 top univariate genes (columns). This dataset is used as a sample test set in our examples.
● Data Source:
BioConductor
● Keywords: datasets
● Alias: testData
●
0 images
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testSurv
(Package: iterativeBMAsurv) :
Sample Test Data for the Iterative BMA Algorithm for Survival Analysis
This is an diffuse large B-cell lymphoma (DLBCL) dataset from Rosenwald et al. (2002). This is a vector of survival times for 36 test samples. All survival times are given in years.
● Data Source:
BioConductor
● Keywords: datasets
● Alias: testSurv
●
0 images
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trainCens
(Package: iterativeBMAsurv) :
Sample Training Data for the Iterative BMA Algorithm for Survival Analysis
This is an diffuse large B-cell lymphoma (DLBCL) dataset from Rosenwald et al. (2002). This is a vector of censor information for 65 training samples. In this vector, 0 = censored and 1 = uncensored.
● Data Source:
BioConductor
● Keywords: datasets
● Alias: trainCens
●
0 images
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trainData
(Package: iterativeBMAsurv) :
Sample Training Data for the Iterative BMA Algorithm for Survival Analysis
This is an adapted diffuse large B-cell lymphoma (DLBCL) dataset from Rosenwald et al. (2002). This data matrix consists of the expression levels from 65 DLBCL samples (rows), and 100 top univariate genes (columns). This dataset is used as a sample training set in our examples.
● Data Source:
BioConductor
● Keywords: datasets
● Alias: trainData
●
0 images
|
trainSurv
(Package: iterativeBMAsurv) :
Sample Training Data for the Iterative BMA Algorithm for Survival Analysis
This is an diffuse large B-cell lymphoma (DLBCL) dataset from Rosenwald et al. (2002). This is a vector of survival times for 65 training samples. All survival times are given in years.
● Data Source:
BioConductor
● Keywords: datasets
● Alias: trainSurv
●
0 images
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This is an example chr10 ChIP-seq data of Histone H3K4me1 and H3K27me3.
● Data Source:
BioConductor
● Keywords: datasets
● Alias: jmosaics_example_data
●
0 images
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