lymphoma: Lymphoma data set
In natydasilva/PPforest: Projection Pursuit Classification Forest
lymphoma R Documentation
Lymphoma data set
Description
Gene expression in the three most prevalent adult lymphoid malignancies: B-cell chronic lymphocytic leukemia (B-CLL), follicular lymphoma (FL), and diffuse large B-cell lym- phoma (DLBCL). Gene expression levels were measured using a specialized cDNA microarray, the Lymphochip, containing genes that are preferentially expressed in lymphoid cells or that are of known immunologic or oncologic importance. This data set contain 80 observations from 3 lymphoma types.
- Type
Class variable has 3 classes with 29 cases of B-cell ALL (B-CLL), 42 cases of diffuse large B-cell lymphoma (DLBCL) and 9 cases of follicular lymphoma (FL)
.
- Gene1 to Gen 50
gene expression
Usage
data(lymphoma)
Format
A data frame with 80 rows and 51 variables
Source
Dudoit, S., Fridlyand, J. and Speed, T. P. (2002). Comparison of Discrimination Methods for the Classification of Tumors Using Gene Ex- pression Data. Journal of the American statistical Association 97 77-87.
natydasilva/PPforest documentation built on July 10, 2024, 9:44 a.m.
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| lymphoma | R Documentation |
Lymphoma data set
Description
Gene expression in the three most prevalent adult lymphoid malignancies: B-cell chronic lymphocytic leukemia (B-CLL), follicular lymphoma (FL), and diffuse large B-cell lym- phoma (DLBCL). Gene expression levels were measured using a specialized cDNA microarray, the Lymphochip, containing genes that are preferentially expressed in lymphoid cells or that are of known immunologic or oncologic importance. This data set contain 80 observations from 3 lymphoma types.
- Type
Class variable has 3 classes with 29 cases of B-cell ALL (B-CLL), 42 cases of diffuse large B-cell lymphoma (DLBCL) and 9 cases of follicular lymphoma (FL)
.
- Gene1 to Gen 50
gene expression
Usage
data(lymphoma)
Format
A data frame with 80 rows and 51 variables
Source
Dudoit, S., Fridlyand, J. and Speed, T. P. (2002). Comparison of Discrimination Methods for the Classification of Tumors Using Gene Ex- pression Data. Journal of the American statistical Association 97 77-87.
R Package Documentation
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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