Microarray gene expression data analysis

被引：0

作者：

Vachtsevanos, G ^{[1
]}

Ding, YH ^{[1
]}

Fairley, JA ^{[1
]}

Gardner, AB ^{[1
]}

Simeonova, P ^{[1
]}

机构：

[1] Georgia Inst Technol, Sch Elect & Comp Engn, Atlanta, GA 30332 USA

来源：

2004 2ND IEEE INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING: MACRO TO NANO, VOLS 1 AND 2 | 2004年

关键词：

D O I：

暂无

中图分类号：

O42 [声学];

学科分类号：

070206 ; 082403 ;

摘要：

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.

引用

页码：105 / 108

页数：4

共 4 条

[1]

Ding YH, 2003, 2003 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOL V, PROCEEDINGS, P13

[2]

STERGIOPOULOS S, 2001, SIGNAL PROCESSING CO

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Brumbaugh, K ;

Luster, MI ;

Simeonova, PP .

JOURNAL OF INTERFERON AND CYTOKINE RESEARCH, 2003, 23 (05) :237-245

[4] Medical image segmentation via coupled curve evolution equations with global constraints [J].

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IEEE WORKSHOP ON MATHEMATICAL METHODS IN BIOMEDICAL IMAGE ANALYSIS, PROCEEDINGS, 2000, :12-19

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