Leukemia: Data from Golub et al. 1999
In AntonioCoppola/lbfgs: Limited-Memory BFGS Optimization
Description
Data from Golub, Todd R., et al. "Molecular classification of cancer:
class discovery and class prediction by gene expression monitoring."
Science 286.5439 (1999): 531-537. The study uses microarray data to perform
cancer classification based on gene expression monitoring.
Usage
1
Value
y
A vector of binary values specifying the cancer class for 72 leukemia patients. A value of 0 corresponds to patients with acute lymphoblastic leukemia (ALL), and 1 corresponds to patients with acute myeloid leukemia (AML).
x
A 72-by-3571 matrix specifying the levels of expressions of 3571 genes for the 72 different patients.
AntonioCoppola/lbfgs documentation built on Oct. 29, 2020, 7:12 a.m.
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Description
Data from Golub, Todd R., et al. "Molecular classification of cancer: class discovery and class prediction by gene expression monitoring." Science 286.5439 (1999): 531-537. The study uses microarray data to perform cancer classification based on gene expression monitoring.
Usage
1 |
Value
y |
A vector of binary values specifying the cancer class for 72 leukemia patients. A value of 0 corresponds to patients with acute lymphoblastic leukemia (ALL), and 1 corresponds to patients with acute myeloid leukemia (AML). |
x |
A 72-by-3571 matrix specifying the levels of expressions of 3571 genes for the 72 different patients. |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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