References
- Phang, T.L., Neville, M.C., Rudolph, M., Hunter, L., 2003. Trajectory clustering: a non-parametric method for grouping gene expression time courses with applications to mammary development. Pacific Symposium on Biocomputing. 8:351–362.
- Pounds, S.B., 2006. Estimation and control of multiple testing error rates for microarray studies. Brief. Bioinform. 7:25–36.
- Suchyta, S.P., Sipkovsky, S., Kruska, R., Jeffers, A., McNulty, A., Coussens, M.J., Tempelman, R.J., Halgren, R.G., Saama, P.M., et al., 2003. Development and testing of a high-density cDNA microarray resource for cattle. Physiol. Genomics. 15: 158–164.
- Tran, P.H., Peiffer, D.A., Shin, Y., Meek, L.M., Brody, J.P., Cho, K.W.Y., 2002. Microarray optimizations: increasing spot accuracy and automated identification of true microarray signals. Nucleic Acids Res. 30:12 e54.
- Wolfinger, R.D., Gibson, G., Wolfinger, E., Bennett, L., Hamadeh, H., Bushel, P., Asfhari, C., Paules, R.S., 2001. Assessing gene significance from cDNA microarray expression data via mixed models. J. Compu. Biol. 8:625–637.
- Yang, Y.H., Buckley, M.J., Dudoit, S., Speed, T.P., 2002. Comparison of methods for image analysis on cDNA microarray data. J. Comput. Graph. Stat. 11:108–136.