Title :
Adaptive threshold to detect biologically meaningful changes in microarray data
Author :
Fukuoka, Yutaka ; Inaoka, Hidenori ; Noshiro, Makoto
Author_Institution :
School of Biomedical Science, Tokyo Medical and Dental University, Japan
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.
Keywords :
Biological system modeling; Concrete; DNA; Error correction; Gene expression; Measurement errors; Proportional control; Robustness; Algorithms; Artificial Intelligence; Diagnosis, Computer-Assisted; Gene Expression Profiling; Humans; Oligonucleotide Array Sequence Analysis; Pattern Recognition, Automated; Reproducibility of Results; Sensitivity and Specificity; Signal Processing, Computer-Assisted;
Conference_Titel :
Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual International Conference of the IEEE
Conference_Location :
Vancouver, BC
Print_ISBN :
978-1-4244-1814-5
Electronic_ISBN :
1557-170X
DOI :
10.1109/IEMBS.2008.4650510