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Quantitative Biology > Genomics

arXiv:q-bio/0511030 (q-bio)
[Submitted on 16 Nov 2005]

Title:Correlation Statistics for cDNA Microarray Image Analysis

Authors:Radhakrishnan Nagarajan, Meenakshi Upreti
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Abstract: In this report, 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 minimizes false-positives. The present study also raises the intriguing question of whether a change in correlation can be an indicator of differential gene expression.
Comments: 25 Pages, 8 Figures
Subjects: Genomics (q-bio.GN); Quantitative Methods (q-bio.QM)
Cite as: arXiv:q-bio/0511030 [q-bio.GN]
  (or arXiv:q-bio/0511030v1 [q-bio.GN] for this version)
  https://doi.org/10.48550/arXiv.q-bio/0511030

Submission history

From: Radhakrishnan Nagarajan [view email]
[v1] Wed, 16 Nov 2005 15:25:33 UTC (118 KB)
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