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
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;
Conference_Titel :
Biomedical Imaging: Nano to Macro, 2004. IEEE International Symposium on
Print_ISBN :
0-7803-8388-5
DOI :
10.1109/ISBI.2004.1398485