Supervised and Unsupervised Learning with Microarray Data

Authors

Dawn Wilkins, University of Mississippi

Document Type

Lecture

Publication Date

4-6-2005

Abstract

This talk will describe how machine learning techniques are commonly used in microarray data analysis. Methods discussed will include unsupervised methods, such as hierarchical clustering, and the general approach for using supervised methods, such as neural networks, support vector machines, nearest neighbor, and others. Examples from past, present and upcoming research projects will be described.

Relational Format

presentation

Recommended Citation

Wilkins, Dawn, "Supervised and Unsupervised Learning with Microarray Data" (2005). Probability & Statistics Seminar. 53.
https://egrove.olemiss.edu/math_statistics/53