Identifying significant temporal variation in time course microarray data without replicates

Author:

Billups Stephen C,Neville Margaret C,Rudolph Michael,Porter Weston,Schedin Pepper

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Structural Biology

Reference7 articles.

1. Bar-Joseph Z: Analyzing time series gene expression data. Bioinformatics. 2004, 20 (16): 2493-2503. 10.1093/bioinformatics/bth283.

2. Storey JD, Xiao W, Leek JT, Dai JY, Tompkins RG, Davis RW: Significance Analysis of Time Course Microarray Experiments. Proceedings of the National Academy of Sciences of the United States of America. 2005, 102 (36): 12837-12842. 10.1073/pnas.0504609102.

3. de Boor C: A Practical Guide to Splines. 1978, No. 27 in Applied Mathematical Sciences, Springer-Verlag, New York

4. Golub GH, Loan CFV: Matrix Computations. 1983, No. 3 in Johns Hopkins Series in the Mathematical Sciences, The Johns Hopkins University Press, Baltimore

5. Benjamini Y, Hochberg Y: Controlling the false discovery rate: A practical and powerful approach to multiple testing. Journal of the Royal Statistical Society B. 1995, 57: 289-300.

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