Imoto S - Search Results

1

Estimation of nonlinear gene regulatory networks via L1 regularized NVAR from time series gene expression data.

Kojima K, Fujita A, Shimamura T, Imoto S, Miyano S. Kojima K, et al. Among authors: imoto s. Genome Inform. 2008;20:37-51. Genome Inform. 2008. PMID: 19425121 Free article.

2

14q11 abnormality and trisomy 8q are not common in Japanese T-cell prolymphocytic leukemia.

Kojima K, Kobayashi H, Imoto S, Nakagawa T, Matsui T, Kawachi Y, Oda K, Yano T, Kobayashi H, Noguchi M, Hara M, Oshimi K. Kojima K, et al. Among authors: imoto s. Int J Hematol. 1998 Oct;68(3):291-6. doi: 10.1016/s0925-5710(98)00074-7. Int J Hematol. 1998. PMID: 9846013 Clinical Trial.

3

Estimation of genetic networks and functional structures between genes by using Bayesian networks and nonparametric regression.

Imoto S, Goto T, Miyano S. Imoto S, et al. Pac Symp Biocomput. 2002:175-86. Pac Symp Biocomput. 2002. PMID: 11928473 Free article.

4

Statistical analysis of a small set of time-ordered gene expression data using linear splines.

De Hoon MJ, Imoto S, Miyano S. De Hoon MJ, et al. Among authors: imoto s. Bioinformatics. 2002 Nov;18(11):1477-85. doi: 10.1093/bioinformatics/18.11.1477. Bioinformatics. 2002. PMID: 12424119

5

Inferring gene regulatory networks from time-ordered gene expression data of Bacillus subtilis using differential equations.

de Hoon MJ, Imoto S, Kobayashi K, Ogasawara N, Miyano S. de Hoon MJ, et al. Among authors: imoto s. Pac Symp Biocomput. 2003:17-28. Pac Symp Biocomput. 2003. PMID: 12603014 Free article.

6

Use of gene networks from full genome microarray libraries to identify functionally relevant drug-affected genes and gene regulation cascades.

Savoie CJ, Aburatani S, Watanabe S, Eguchi Y, Muta S, Imoto S, Miyano S, Kuhara S, Tashiro K. Savoie CJ, et al. Among authors: imoto s. DNA Res. 2003 Feb 28;10(1):19-25. doi: 10.1093/dnares/10.1.19. DNA Res. 2003. PMID: 12693551 Free article.

7

Estimating gene networks from gene expression data by combining Bayesian network model with promoter element detection.

Tamada Y, Kim S, Bannai H, Imoto S, Tashiro K, Kuhara S, Miyano S. Tamada Y, et al. Among authors: imoto s. Bioinformatics. 2003 Oct;19 Suppl 2:ii227-36. doi: 10.1093/bioinformatics/btg1082. Bioinformatics. 2003. PMID: 14534194

8

Inferring gene networks from time series microarray data using dynamic Bayesian networks.

Kim SY, Imoto S, Miyano S. Kim SY, et al. Among authors: imoto s. Brief Bioinform. 2003 Sep;4(3):228-35. doi: 10.1093/bib/4.3.228. Brief Bioinform. 2003. PMID: 14582517

9

Open source clustering software.

de Hoon MJ, Imoto S, Nolan J, Miyano S. de Hoon MJ, et al. Among authors: imoto s. Bioinformatics. 2004 Jun 12;20(9):1453-4. doi: 10.1093/bioinformatics/bth078. Epub 2004 Feb 10. Bioinformatics. 2004. PMID: 14871861

10

Predicting the operon structure of Bacillus subtilis using operon length, intergene distance, and gene expression information.

De Hoon MJ, Imoto S, Kobayashi K, Ogasawara N, Miyano S. De Hoon MJ, et al. Among authors: imoto s. Pac Symp Biocomput. 2004:276-87. doi: 10.1142/9789812704856_0027. Pac Symp Biocomput. 2004. PMID: 14992510 Free article.

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