Leukemia

<p>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.</p>

datasets

A wrapper built around the libLBFGS optimization library by Naoaki Okazaki. The lbfgs package implements both the Limited-memory Broyden-Fletcher-Goldfarb-Shanno (L-BFGS) and the Orthant-Wise Quasi-Newton Limited-Memory (OWL-QN) optimization algorithms. The L-BFGS algorithm solves the problem of minimizing an objective, given its gradient, by iteratively computing approximations of the inverse Hessian matrix. The OWL-QN algorithm finds the optimum of an objective plus the L1-norm of the problem's parameters. The package offers a fast and memory-efficient implementation of these optimization routines, which is particularly suited for high-dimensional problems.

Antonio Coppola

lbfgs

Limited-memory BFGS Optimization

Brandon Stewart

Naoaki Okazaki

David Ardia

Dirk Eddelbuettel

Katharine Mullen

Jorge Nocedal

Leukemia function

Data from Golub et al. 1999 — Leukemia

Data from Golub et al. 1999

Leukemia: Data from Golub et al. 1999

Description

Usage

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