Differences

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-====== 2003 ======
-  - Akutsu, T., Kuhara, S., Maruyama, O., Miyano, S. Identification of genetic networks by strategic gene disruptions and gene overexpressions under a boolean model. Theoretical Computer Science. 298(1):235-251, 2003.
-  - Akutsu, T., Miyano, S., Kuhara, S. A simple greedy algorithm for finding functional relations: efficient implementation and average case analysis. Theoretical Computer Science. 292(2):481-495, 2003.
-  - Bannai, H., Inenaga, S., Shinohara, A., Takeda, M., Inferring strings from graphs and arrays. Lecture Notes in Computer Science. 2747: 208-217, 2003.
-  - De Hoon, M., Imoto, S., Kobayashi, K., Ogasawara, N., Miyano, S. Inferring gene regulatory networks from time-ordered gene expression data of Bacillus subtilis using differential equations. Pacific Symposium on Biocomputing. 8:17-28, 2003.
-  - Doi, A., Nagasaki, M., Matsuno, H., Miyano, S. Genomic Object Net: II. Modelling biopathways by hybrid functional Petri net with extension. Applied Bioinformatics. 2(3):185-188, 2003.
-  - Imoto, S., Kim, S., Goto, T., Aburatani, S., Tashiro, K., Kuhara, S., Miyano, S. Bayesian network and nonparametric heteroscedastic regression for nonlinear modeling of genetic network. J. Bioinformatics and Computational Biology. 1(2):231-252, 2003.
-  - Imoto, S., Konishi, S. Selection of smoothing parameters in B-spline nonparametric regression models using information criteria. Annals of the Institute of Statistical Mathematics, 55:671-687, 2003.
-  - Imoto, S., Savoie, C.J., Aburatani, S., Kim, S., Tashiro, K., Kuhara, S., Miyano, S. Use of gene networks for identifying and validating drug targets. J. Bioinformatics and Computational Biology. 1(3):459-474, 2003.
-  - Kim, S., Imoto, S., Miyano, S. Inferring gene networks from time series microarray data using dynamic Bayesian networks. Briefings in Bioinformatics. 4(3):228-235, 2003.
-  - Matsuno, H., Murakami, R., Yamane, R., Yamasaki, N., Fujita, S., Yoshimori, H., Miyano, S. Boundary formation by notch signaling in Drosophila multicellular systems: experimental observations and gene network modeling by Genomic Object Net. Pacific Symposium on Biocomputing. 8:152-163, 2003.
-  - Matsuno, H., Tanaka, Y., Aoshima, H., Doi, A., Matsui, M., Miyano, S. Biopathways representation and simulation on hybrid functional Petri net. In Silico Biology. 3(3): 389-404, 2003.
-  - Matsuno, H., Fujita, S., Doi, A., Nagasaki, M., Miyano, S. Towards biopathway modeling and simulation. Lecture Notes in Computer Science. 2679:3-22, 2003.
-  - Miyano, S. Inference, modeling and simulation of gene networks. Lecture Notes in Computer Science. 2602:207-211, 2003.
-  - Nagasaki, M. Doi, A., Matsuno, H., Miyano, S. Genomic Object Net: I. a platform for modeling and simulating biopathways. Applied Bioinformatics. 2(3):181-184, 2003.
-  - Nagasaki, M., Doi, A., Matsuno, H., Miyano, S. Recreating biopathway databases towards simulation. Lecture Notes in Computer Science. 2602:191-192, 2003.
-  - Obara, W., Iida, A., Suzuki, Y., Tanaka, T., Akiyama, F., Maeda, S., Ohnishi, Y., Yamada, R., Tsunoda, T., Takei, T., Ito, K., Honda, K., Uchida, K., Tsuchiya, K., Yumura, W., Ujiie, T., Nagane, Y., Nitta, K., Miyano, S., Narita, I., Gejyo, F., Nihei, H., Fujioka, T., Nakamura, Y. Association of single-nucleotide polymorphisms in the polymeric immunoglobulin receptor gene with immunoglobulin A nephropathy (IgAN) in Japanese patients. J. Hum. Genet. 48(6):293-299, 2003.
-  - Ott, S., Tamada, Y., Bannai, H., Nakai, K., Miyano, S. Intrasplicing - analysis of long intron sequences. Pacific Symposium on Biocomputing. 8:339-350, 2003.
-  - Ott, S., Miyano, S. Finding optimal gene networks using biological constraints. Genome Informatics. 14:124-133, 2003.
-  - Savoie, C.J., Aburatani, S., Watanabe, S., Eguchi, Y., Muta, S., Imoto, S., Miyano, S., Kuhara, S., Tashiro, K. Use of gene networks from full genome microarray libraries to identify functionally relevant drug-affected genes and gene regulation cascades. DNA Research. 10(1):19-25, 2003.
-  - Sumii, E., Bannai, H., The extension of ML with hypothetical views for discovery science: formalization and implementation. J. Functional and Logic Programming, Special Issue 1, S03-01, 2003.
-  - Takeda, M., Inenaga, S., Bannai, H., Shinohara, A., Arikawa, S. Discovering most classificatory patterns for very expressive pattern classes. Lecture Notes in Computer Science. 2843: 486-493, 2003.
-  - Takei, Y., Inoue, K., Ogoshi, M., Kawahara, T., Bannai, H., Miyano, S. Identification of novel adrenomedullin in mammals: a potent cardiovascular and renal regulator. FEBS Letters, 556(1-3):53-58, 2003.
-  - Tamada, Y., Kim, S., Bannai, H., Imoto, S., Tashiro, K., Kuhara, S., Miyano, S. Estimating gene networks from gene expression data by combining Bayesian network model with promoter element detection. Bioinformatics. 19(Suppl.2):ii227-ii236, 2003.