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Sparse Multinomial Logistic Regression (SMLR)
SMLR began as a classification algorithm developed by Alexander Hartemink, a professor
in the computer science department at Duke University. Now, SMLR is a portable java
program that uses that algorithm to perform classification tasks. The program involves a
user-friendly interface that allows people to customize the parameters used in the
classification algorithm in order to find the best possible classifier. So far, SMLR has been used
to classify genes in the human genome as either imprinted or non-imprinted, and is currently
mention in a paper that is soon to be published in a major publication. More information can
be found at Dr. Hartemink's webpage.
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duke.edu