| A fast structural multiple alignment method for long RNA sequences Y Tabei, H Kiryu, T Kin, K Asai BMC bioinformatics 9, 1-17, 2008 | 135 | 2008 |
| Identification of chemogenomic features from drug–target interaction networks using interpretable classifiers Y Tabei, E Pauwels, V Stoven, K Takemoto, Y Yamanishi Bioinformatics 28 (18), i487-i494, 2012 | 105 | 2012 |
| Murlet: a practical multiple alignment tool for structural RNA sequences H Kiryu, Y Tabei, T Kin, K Asai Bioinformatics 23 (13), 1588-1598, 2007 | 100 | 2007 |
| SCARNA: fast and accurate structural alignment of RNA sequences by matching fixed-length stem fragments Y Tabei, K Tsuda, T Kin, K Asai Bioinformatics 22 (14), 1723-1729, 2006 | 77 | 2006 |
| Bayesian dynamic mode decomposition. N Takeishi, Y Kawahara, Y Tabei, T Yairi IJCAI, 2814-2821, 2017 | 73 | 2017 |
| PoSSuM: a database of similar protein–ligand binding and putative pockets JI Ito, Y Tabei, K Shimizu, K Tsuda, K Tomii Nucleic acids research 40 (D1), D541-D548, 2012 | 67 | 2012 |
| Predicting inhibitory and activatory drug targets by chemically and genetically perturbed transcriptome signatures R Sawada, M Iwata, Y Tabei, H Yamato, Y Yamanishi Scientific reports 8 (1), 156, 2018 | 58 | 2018 |
| Queries on LZ-bounded encodings D Belazzougui, T Gagie, P Gawrychowski, J Kärkkäinen, A Ordónez, ... 2015 Data Compression Conference, 83-92, 2015 | 55 | 2015 |
| Scalable prediction of compound-protein interactions using minwise hashing Y Tabei, Y Yamanishi BMC systems biology 7 (Suppl 6), S3, 2013 | 55 | 2013 |
| Fully-online grammar compression S Maruyama, Y Tabei, H Sakamoto, K Sadakane International Symposium on String Processing and Information Retrieval, 218-229, 2013 | 47 | 2013 |
| Access, rank, and select in grammar-compressed strings D Belazzougui, PH Cording, SJ Puglisi, Y Tabei Algorithms-ESA 2015: 23rd Annual European Symposium, Patras, Greece …, 2015 | 46 | 2015 |
| Improved ESP-index: a practical self-index for highly repetitive texts Y Takabatake, Y Tabei, H Sakamoto International Symposium on Experimental Algorithms, 2014 | 45 | 2014 |
| Supervised de novo reconstruction of metabolic pathways from metabolome-scale compound sets M Kotera, Y Tabei, Y Yamanishi, T Tokimatsu, S Goto Bioinformatics 29 (13), i135-i144, 2013 | 43 | 2013 |
| KCF-S: KEGG Chemical Function and Substructure for improved interpretability and prediction in chemical bioinformatics M Kotera, Y Tabei, Y Yamanishi, Y Moriya, T Tokimatsu, M Kanehisa, ... BMC systems biology 7, 1-17, 2013 | 40 | 2013 |
| Optimal-Time Queries on BWT-runs Compressed Indexes T Nishimoto, Y Tabei 48th International Colloquium on Automata, Languages, and Programming, 2021 | 38 | 2021 |
| PDB‐scale analysis of known and putative ligand‐binding sites with structural sketches JI Ito, Y Tabei, K Shimizu, K Tomii, K Tsuda Proteins: Structure, Function, and Bioinformatics 80 (3), 747-763, 2012 | 36 | 2012 |
| Predicting drug-induced transcriptome responses of a wide range of human cell lines by a novel tensor-train decomposition algorithm M Iwata, L Yuan, Q Zhao, Y Tabei, F Berenger, R Sawada, S Akiyoshi, ... Bioinformatics 35 (14), i191-i199, 2019 | 35 | 2019 |
| Inferring protein domains associated with drug side effects based on drug-target interaction network H Iwata, S Mizutani, Y Tabei, M Kotera, S Goto, Y Yamanishi BMC systems biology 7, 1-11, 2013 | 33 | 2013 |
| Scalable partial least squares regression on grammar-compressed data matrices Y Tabei, H Saigo, Y Yamanishi, S J. Puglisi Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge …, 2016 | 29 | 2016 |
| Scalable Partial Least Squares Regression on Grammar-Compressed Data Matrices Y Tabei, H Saigo, Y Yamanishi, SJ Puglisi | 29 | 2016 |
Yoshihiro YamanishiNagoya University在 i.nagoya-u.ac.jp 的电子邮件经过验证
