Digital Signal Processing Reference
In-Depth Information
58.
T.E. Ideker, V. Thorsson, and R.M. Karp, Discovery of regulatory interactions
through perturbation: inference and experimental design, Pac. Symp. Biocomput.,
5, 302-313, 2000.
59.
R.M. Karp, R. Stoughton, and K.Y. Yeung, Algorithms for choosing differential
gene expression experiments, in RECOMB99 (ACM), 1999, 208-217.
60.
Y. Maki, D. Tominaga, M. Okamoto, S. Watanabe, and Y. Eguchi, Development of
a system for the inference of large scale genetic networks, Pac. Symp. Biocomput.,
6, 446-458, 2001.
61.
K. Noda, A. Shinohara, M. Takeda, S. Matsumoto, S. Miyano, and S. Kuhara,
Finding genetic network from experiments by weighted network model, Genome
Informatics, 9, 141-150, 1998.
62.
I. Shmulevich, A. Saarinen, O. Yli-Harja, and J. Astola, Inference of genetic reg-
ulatory networks under the best-fit extension paradigm, in Computational and
Statistical Approaches to Genomics, W. Zhang and I. Shmulevich, Eds., Boston:
Kluwer, 2002.
63.
H. Lahdesm aki, I. Shmulevich, and O. Yli-Harja, On learning gene regulatory
networks under the Boolean network model, Mach. Learning, 52, 147-167, 2003.
64.
E.J. Coyle and J.H. Lin, Stack filters and the mean absolute error criterion, IEEE
Trans. Acoust. Speech Signal Process., ASSP-36(8), 1244-1254, Aug. 1988.
65.
E.J. Coyle, J.H. Lin, and M. Gabbouj, Optimal stack filtering and the estimation
and structural approaches to image processing, IEEE Trans. Acoust., Speech Signal
Process., ASSP-37(12), 2037-2066, 1989.
66.
R. Yang, L. Yin, M. Gabbouj, J. Astola, and Y. Neuvo, Optimal weighted median
filtering under structural constraints, IEEE Trans. Signal Process., 43(3), 591-604,
1995.
67.
E.R. Dougherty and R.P. Loce, Precision of morphological-representation estima-
tors for translation-invariant binary filters: increasing and nonincreasing, Signal
Process., 40, 129-154, 1994.
68.
R.P. Loce and E.R. Dougherty, Optimal morphological restoration: the morpho-
logical filter mean-absolute-error theorem,
Vis. Commun. Image Representation,
3(4), 1992.
69.
E.R. Dougherty and J.T. Astola, Nonlinear Filters for Image Processing, Bellingham,
WA/New York: SPIE/IEEE Press, 1999.
70.
E.R. Dougherty and Y. Chen, Optimal and adaptive design of logical granulo-
metric filters, Adv. Imaging Electron Phys., 117, 1-71, 2001.
71.
E.R. Dougherty, S. Kim, and Y. Chen, Coefficient of determination in nonlinear
signal processing, Signal Process., 80(10), 2219-2235, 2000.
72.
S. Kim, E.R. Dougherty, Y. Chen, K. Sivakumar, P. Meltzer, J.M. Trent, and M.
Bittner, Multivariate measurement of gene expression relationships, Genomics,
67, 201-209, 2000.
73.
S. Kim, E.R. Dougherty, M.L. Bittner, Y. Chen, K. Sivakumar, P. Meltzer, and
J.M. Trent, General nonlinear framework for the analysis of gene interaction via
multivariate expression arrays, J. Biomed. Opt., 5(4), 411-424, 2000.
74.
I. Shmulevich, E.R. Dougherty, S. Kim, and W. Zhang, Probabilistic Boolean net-
works: a rule-based uncertainty model for gene regulatory networks, Bioinfor-
matics, 18(2), 261-274, 2002.
75.
E.B. Suh, E.R. Dougherty, S. Kim, M.L. Bittner, Y. Chen, D.E. Russ, and R.
Martino, Parallel computation and visualization tools for codetermination anal-
ysis of multivariate gene-expression relations, in Computational and Statistical
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