Method

ProCAT: a data analysis approach for protein microarrays

Xiaowei Zhu¹, Mark Gerstein^3,^1,² and Michael Snyder^4,^1,²^*

¹ Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT 06511, USA

² Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT 06511, USA

³ Department of Computer Science, Yale University, New Haven, CT 06511, USA

⁴ Department of Molecular, Cellular and Developmental Biology, Yale University, New Haven, CT 06511, USA

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Genome Biology 2006, 7:R110 doi:10.1186/gb-2006-7-11-r110

Published: 16 November 2006

Additional File 1:

Variance reduction in positive controls using different normalization window sizes.

Format: EPS Size: 952KB Download file

Additional File 2:

Raw signals generated in the autophosphorylation experiment for testing the background correction method.

Format: GPR Size: 2.3MB Download file

Additional File 3:

Raw signals generated in the anti-GST probing experiment calibrating the signal scaling approach.

Format: GPR Size: 730KB Download file