Differences

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-====== 2006 ======
-  - Ando, T., Konishi, S., Imoto, S. Nonlinear regression modeling via regularized radial basis function networks. J. Statistical Planning and Inference. In press.
-  - Doi, A., Nagasaki, M., Matsuno, H., Miyano, S. Simulation based validation of the p53 transcriptional activity with hybrid functional Petri net. In Silico Biology. 6(1-2): 1-13, 2006.
-  - Doi, A., Nagasaki, M., Ueno, K., Matsuno, H., Miyano, S. A combined pathway to simulate CDK-dependent phosphorylation and ARF-dependent stabilization for p53 transcriptional activity. Genome Informatics 17(1): 112-123, 2006.
-  - Imoto, S., Tamada, Y., Araki, H., Yasuda, K., Print, C.G., Charnock-Jones, S.D., Sanders, D., Savoie, C.J., Tashiro, K., Kuhara, S., Miyano, S.  Computational strategy for discovering druggable gene networks from genome-wide RNA expression profiles. Pacific Symposium on Biocomputing. 11: 559-571, 2006.
-  - Imoto, S., Higuchi, T., Goto, T., Miyano, S. Error tolerant model for incorporating biological knowledge with expression data in estimating gene networks. Statistical Methodology, 3(1):1-16, 2006.
-  - Jeong, E., Miyano, S. A weighted profile based method for protein-RNA interacting residue prediction. Transactions on Computational Systems Biology. Lecture Notes in Computer Science. 3939: 123-139, 2006.
-  - Li, C., Suzuki, S., Ge, Q.-W., Nakata, M., Matsuno, H., Miyano, S. Structural modeling and analysis of signaling pathways based on petri nets. J. Bioinformatics and Computional Biology. 4(5):1119-1140, 2006.
-  - Matsuno, H., Inouye, S.-T., Okitsu, Y., Fujii, Y., Miyano, S. A new regulatory interactions suggested by simulations for circadian genetic control mechanism in mammals. J. Bioinformatics and Computional Biology. 4(1): 139-154, 2006.
-  - Matsuno, H., Li, C., Miyano, S. Petri net based description for systematic understanding of biological pathways. IEICE Trans. Fundamentals, E89-A (11): 3166-3174, 2006.
-  - Nagasaki, M., Yamaguchi, R., Yoshida, R., Imoto, S., Doi, A., Tamada, Y., Matsuno, H., Miyano, S., Higuchi, T. Genomic data assimilation for estimating hybrid functional Petri net from time-course gene expression data. Genome Informatics. 17(1). 46-61, 2006.
-  - Nakamichi, R., Imoto, S., Miyano, S. Statistical model selection method to analyze combinatorial effects of SNPs and environmental factors for binary disease. International J. Artificial Intelligence Tools, 15(5), 711-724, 2006.
-  - Okada, R., Sugii, M., Matsuno, H., Miyano, S. Machine learning prediction of amino acid patterns in protein N-myristoylation. Lecture Notes in Bioinformatics. 4146: 4-14, 2006.
-  - Saito, A., Nagasaki, M., Doi, A., Ueno, K., Miyano, S. Cell fate simulation model of gustatory neurons with microRNAs double-negative feedback loops by hybrid functional Petri net with extension. Genome Informatics 17(1): 100-111, 2006.
-  - Takei, Y., Kawakoshi, A., Tsukada, T., Yuge, S., Ogoshi, M., Inoue, K., Hyodo, S., Bannai, H., Miyano, S.  Contribution of comparative fish studies to general endocrinology: structure and function of some osmoregulatory hormones. J. Experimental Zoology. Part A, Comparative Experimental Biology. 305(9):787-798, 2006.
-  - Tamada, Y., Imoto, S., Miyano, S. Estimating gene networks from gene expression data utilizing biological information. Proc. Inst. Statist. Math. 54(2): 333-356, 2006.
-  - Tasaki, S., Nagasaki, M., Oyama, M., Hata, H., Ueno, K., Yoshida, R., Higuchi, T., Sugano, S., Miyano, S. Modeling and estimation of dynamic EGFR pathway by data assimilation approach using time series proteomic data. Genome Informatics. 17(2): 226-228, 2006.
-  - Termier, A., Tamada, Y., Imoto, S., Washio, T., Higuchi, T. From closed tree mining towards closed DAG mining. Proc. International Workshop on Data Mining and Statistical Science, 1-7, 2006.
-  - Washio, T., Higuchi, T., Imoto, S., Tamada, Y., Sato, K., Motoda, H. Graph mining and its application to statistical modeling. Proc. Inst. Statist. Math. 54(2): 315-332, 2006.
-  - Yoshida, R., Higuchi, T., Imoto, S., Miyano, S. ArrayCluster: an analytic tool for clustering, data visualization and module finder on gene expression profiles. Bioinformatics. 22(12):1538-1539, 2006.
-  - Yoshida, R., Numata, K., Imoto, S., Nagasaki, M., Doi, A., Ueno, K., Miyano, S. A statistical framework for genome-wide discovery of biomarker splice variations with GeneChip Human Exon 1.0 ST arrays. Genome Informatics 17(1): 88-99, 2006.