Fundamentals of digital image processing
Fundamentals of digital image processing
Numerical recipes in C (2nd ed.): the art of scientific computing
Numerical recipes in C (2nd ed.): the art of scientific computing
Matrix computations (3rd ed.)
Automating the processing of cDNA microarray images
International Journal of Intelligent Systems Technologies and Applications
Noise reduction of cDNA microarray images using complex wavelets
IEEE Transactions on Image Processing
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In this paper, correlation of the pixels comprising a microarray spot is investigated. Subsequently, correlation statistics, namely, Pearson correlation and Spearman rank correlation, are used to segment the foreground and background intensity of microarray spots. The performance of correlation-based segmentation is compared to clustering-based (PAM, k-means) and seeded-region growing techniques (SPOT). It is shown that correlation-based segmentation is useful in flagging poorly hybridized spots, thus minimizing false-positives. The present study also raises the intriguing question of whether a change in correlation can be an indicator of differential gene expression.