DocumentCode
2629953
Title
Microarray gene expression data analysis
Author
Vachtsevanos, George ; Ding, Yuhua ; Fairley, Jacqueline A. ; Gardner, Andrew B. ; Simeonova, Petia
Author_Institution
Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
fYear
2004
fDate
15-18 April 2004
Firstpage
105
Abstract
Image analysis is a crucial step in processing microarray data generated by gene expression studies, which have been used extensively in understanding the molecular mechanisms of injury and recovery. A novel image analysis method utilizing an efficient snake-based multichannel image segmentation algorithm is proposed to analyze the microarray data. The preliminary experimental results show that this method achieved very high segmentation accuracy, which guarantees accurate feature measurements.
Keywords
genetics; image segmentation; medical image processing; molecular biophysics; image analysis; injury; microarray gene expression data analysis; molecular mechanisms; recovery; snake-based multichannel image segmentation algorithm; Bioinformatics; DNA; Data analysis; Gene expression; Image analysis; Image segmentation; Injuries; Muscles; Musculoskeletal system; Signal to noise ratio;
fLanguage
English
Publisher
ieee
Conference_Titel
Biomedical Imaging: Nano to Macro, 2004. IEEE International Symposium on
Print_ISBN
0-7803-8388-5
Type
conf
DOI
10.1109/ISBI.2004.1398485
Filename
1398485
Link To Document