UNIT 10.13 The Application of Data Mining to Flow Cytometry
Published Online: 1 MAY 2002
Copyright © 2003 by John Wiley and Sons, Inc.
Lab Protocol Title
Current Protocols in Cytometry
How to Cite
Nguyen, A. N. 2002. The Application of Data Mining to Flow Cytometry. Current Protocols in Cytometry. 20:10.13:10.13.1–10.13.6.
- Published Online: 1 MAY 2002
- Published Print: APR 2002
Data mining is the process of automating information discovery to detect useful patterns, correlations, and trends. Existing data must be fitted into a representative model from which useful information can be derived through a variety of algorithms. The routine generation of vast amounts of data make flow cytometry a logical target for the application of data mining. This informative unit discusses the steps of the data-mining process using the immunophenotyping of hematologic neoplasms to demonstrate the application. The author describes several types of algorithms and provides a useful resource list of commercially available tools.