Open source clustering software MJL De Hoon, S Imoto, J Nolan, S Miyano Bioinformatics 20 (9), 1453-1454, 2004 | 3436 | 2004 |
Pan-cancer analysis of whole genomes Nature 578 (7793), 82-93, 2020 | 1858* | 2020 |
Long noncoding RNA HOTAIR regulates polycomb-dependent chromatin modification and is associated with poor prognosis in colorectal cancers R Kogo, T Shimamura, K Mimori, K Kawahara, S Imoto, T Sudo, F Tanaka, ... Cancer research 71 (20), 6320-6326, 2011 | 1508 | 2011 |
Mapping the human genetic architecture of COVID-19 Writing group Writing group leaders Pathak Gita A. 6 Andrews Shea J. 7 Kanai ... Nature 600 (7889), 472-477, 2021 | 793 | 2021 |
Estimation of genetic networks and functional structures between genes by using Bayesian networks and nonparametric regression S Imoto, T Goto, S Miyano Biocomputing 2002, 175-186, 2001 | 442 | 2001 |
Inferring gene networks from time series microarray data using dynamic Bayesian networks SY Kim, S Imoto, S Miyano Briefings in bioinformatics 4 (3), 228-235, 2003 | 429 | 2003 |
Combining microarrays and biological knowledge for estimating gene networks via Bayesian networks S Imoto, T Higuchi, T Goto, K Tashiro, S Kuhara, S Miyano Computational Systems Bioinformatics. CSB2003. Proceedings of the 2003 IEEE …, 2003 | 348 | 2003 |
Blautia genus associated with visceral fat accumulation in adults 20–76 years of age N Ozato, S Saito, T Yamaguchi, M Katashima, I Tokuda, K Sawada, ... NPJ biofilms and microbiomes 5 (1), 28, 2019 | 311 | 2019 |
Senolysis by glutaminolysis inhibition ameliorates various age-associated disorders Y Johmura, T Yamanaka, S Omori, TW Wang, Y Sugiura, M Matsumoto, ... Science 371 (6526), 265-270, 2021 | 305 | 2021 |
Genomic landscape of esophageal squamous cell carcinoma in a Japanese population G Sawada, A Niida, R Uchi, H Hirata, T Shimamura, Y Suzuki, Y Shiraishi, ... Gastroenterology 150 (5), 1171-1182, 2016 | 303 | 2016 |
Dynamic Bayesian network and nonparametric regression for nonlinear modeling of gene networks from time series gene expression data S Kim, S Imoto, S Miyano Biosystems 75 (1-3), 57-65, 2004 | 296 | 2004 |
Inferring gene regulatory networks from time-ordered gene expression data of Bacillus subtilis using differential equations MJL De Hoon, S Imoto, K Kobayashi, N Ogasawara, S Miyano Biocomputing 2003, 17-28, 2002 | 285 | 2002 |
Plastin3 is a novel marker for circulating tumor cells undergoing the epithelial–mesenchymal transition and is associated with colorectal cancer prognosis T Yokobori, H Iinuma, T Shimamura, S Imoto, K Sugimachi, H Ishii, ... Cancer research 73 (7), 2059-2069, 2013 | 276 | 2013 |
Estimating gene networks from gene expression data by combining Bayesian network model with promoter element detection Y Tamada, SY Kim, H Bannai, S Imoto, K Tashiro, S Kuhara, S Miyano Bioinformatics 19 (suppl_2), ii227-ii236, 2003 | 265 | 2003 |
A top-r feature selection algorithm for microarray gene expression data A Sharma, S Imoto, S Miyano IEEE/ACM Transactions on Computational Biology and Bioinformatics 9 (3), 754-764, 2011 | 249 | 2011 |
Bayesian network and nonparametric heteroscedastic regression for nonlinear modeling of genetic network S Imoto, S Kim, T Goto, S Aburatani, K Tashiro, S Kuhara, S Miyano Journal of bioinformatics and computational biology 1 (02), 231-252, 2003 | 228 | 2003 |
Blocking PD-L1–PD-1 improves senescence surveillance and ageing phenotypes TW Wang, Y Johmura, N Suzuki, S Omori, T Migita, K Yamaguchi, ... Nature 611 (7935), 358-364, 2022 | 193 | 2022 |
Finding optimal models for small gene networks S Ott, S Imoto, S Miyano Biocomputing 2004, 557-567, 2003 | 191 | 2003 |
Bayesian information criteria and smoothing parameter selection in radial basis function networks S Konishi, T Ando, S Imoto Biometrika 91 (1), 27-43, 2004 | 183 | 2004 |
Molecular features of triple negative breast cancer cells by genome-wide gene expression profiling analysis M Komatsu, T Yoshimaru, T Matsuo, K Kiyotani, Y Miyoshi, T Tanahashi, ... International journal of oncology 42 (2), 478-506, 2013 | 174 | 2013 |