Adaptive threshold to detect biologically meaningful changes in microarray data

Yutaka Fukuoka; Hidenori Inaoka; Makoto Noshiro

doi:10.1109/IEMBS.2008.4650510

Adaptive threshold to detect biologically meaningful changes in microarray data

Annu Int Conf IEEE Eng Med Biol Soc. 2008:2008:5708-11. doi: 10.1109/IEMBS.2008.4650510.

Authors

Yutaka Fukuoka¹, Hidenori Inaoka, Makoto Noshiro

Affiliation

¹ School of Biomedical Science, Tokyo Medical and Dental University, Japan. fukuoka.bsm@tmd.ac.jp

PMID: 19164013
DOI: 10.1109/IEMBS.2008.4650510

Abstract

To detect changes in gene expression data from DNA microarrays, a fixed threshold value is widely used. However, it is not always guaranteed that a threshold value which is appropriate for highly expressed genes is suitable for genes with low expression. In this study, aiming at detecting biologically meaningful changes from a wide range of expression levels, we proposed an adaptive threshold method. The performance of the proposed method was investigated using publicly available expression data.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Algorithms
Artificial Intelligence
Diagnosis, Computer-Assisted / methods
Gene Expression Profiling / methods*
Humans
Oligonucleotide Array Sequence Analysis / methods*
Pattern Recognition, Automated / methods*
Reproducibility of Results
Sensitivity and Specificity
Signal Processing, Computer-Assisted