| A Bayesian missing value estimation method for gene expression profile data S Oba, M Sato, I Takemasa, M Monden, K Matsubara, S Ishii Bioinformatics 19 (16), 2088-2096, 2003 | 888 | 2003 |
| Expression profiling using a tumor-specific cDNA microarray predicts the prognosis of intermediate risk neuroblastomas M Ohira, S Oba, Y Nakamura, E Isogai, S Kaneko, A Nakagawa, T Hirata, ... Cancer cell 7 (4), 337-350, 2005 | 170 | 2005 |
| High expression of ncRAN, a novel non-coding RNA mapped to chromosome 17q25. 1, is associated with poor prognosis in neuroblastoma M Yu, M Ohira, Y Li, H Niizuma, ML Oo, Y Zhu, T Ozaki, E Isogai, ... International journal of oncology 34 (4), 931-938, 2009 | 135 | 2009 |
| Molecular-based prediction of early recurrence in hepatocellular carcinoma Y Kurokawa, R Matoba, I Takemasa, H Nagano, K Dono, S Nakamori, ... Journal of hepatology 41 (2), 284-291, 2004 | 134 | 2004 |
| Diagnostic Accuracy of Noninvasive Genotyping of EGFR in Lung Cancer Patients by Deep Sequencing of Plasma Cell-Free DNA J Uchida, K Kato, Y Kukita, T Kumagai, K Nishino, H Daga, I Nagatomo, ... Clinical chemistry 61 (9), 1191-1196, 2015 | 125 | 2015 |
| Novel risk stratification of patients with neuroblastoma by genomic signature, which is independent of molecular signature N Tomioka, S Oba, M Ohira, A Misra, J Fridlyand, S Ishii, Y Nakamura, ... Oncogene 27 (4), 441-449, 2008 | 94 | 2008 |
| Identification of expressed genes linked to malignancy of human colorectal carcinoma by parametric clustering of quantitative expression data S Muro, I Takemasa, S Oba, R Matoba, N Ueno, C Maruyama, ... Genome biology 4 (3), 1-10, 2003 | 85 | 2003 |
| Monitoring of treatment responses and clonal evolution of tumor cells by circulating tumor DNA of heterogeneous mutant EGFR genes in lung cancer F Imamura, J Uchida, Y Kukita, T Kumagai, K Nishino, T Inoue, M Kimura, ... Lung cancer 94, 68-73, 2016 | 82 | 2016 |
| Quantitative identification of mutant alleles derived from lung cancer in plasma cell-free DNA via anomaly detection using deep sequencing data Y Kukita, J Uchida, S Oba, K Nishino, T Kumagai, K Taniguchi, ... PloS one 8 (11), e81468, 2013 | 82 | 2013 |
| An unsupervised EEG decoding system for human emotion recognition Z Liang, S Oba, S Ishii Neural Networks 116, 257-268, 2019 | 81 | 2019 |
| An occlusion-aware particle filter tracker to handle complex and persistent occlusions K Meshgi, S Maeda, S Oba, H Skibbe, Y Li, S Ishii Computer Vision and Image Understanding 150, 81-94, 2016 | 80 | 2016 |
| ガウス過程と機械学習 持橋大地， 大羽成征 講談社, 2019 | 72 | 2019 |
| Decoding spatial attention by using cortical currents estimated from electroencephalography with near-infrared spectroscopy prior information H Morioka, A Kanemura, S Morimoto, T Yoshioka, S Oba, M Kawanabe, ... Neuroimage 90, 128-139, 2014 | 67 | 2014 |
| Parameter estimation for von Mises–Fisher distributions A Tanabe, K Fukumizu, S Oba, T Takenouchi, S Ishii Computational Statistics 22, 145-157, 2007 | 61 | 2007 |
| Molecular features of non-B, non-C hepatocellular carcinoma: a PCR-array gene expression profiling study Y Kurokawa, R Matoba, I Takemasa, S Nakamori, M Tsujie, H Nagano, ... Journal of hepatology 39 (6), 1004-1012, 2003 | 55 | 2003 |
| Oncogenic LMO3 collaborates with HEN2 to enhance neuroblastoma cell growth through transactivation of Mash1 E Isogai, M Ohira, T Ozaki, S Oba, Y Nakamura, A Nakagawara PloS one 6 (5), e19297, 2011 | 48 | 2011 |
| The period of the somite segmentation clock is sensitive to Notch activity W Kim, T Matsui, M Yamao, M Ishibashi, K Tamada, T Takumi, K Kohno, ... Molecular biology of the cell 22 (18), 3541-3549, 2011 | 46 | 2011 |
| Prediction of recurrence in advanced gastric cancer patients after curative resection by gene expression profiling M Motoori, I Takemasa, M Yano, S Saito, H Miyata, S Takiguchi, ... International journal of cancer 114 (6), 963-968, 2005 | 42 | 2005 |
| Optimal aggregation of binary classifiers for multiclass cancer diagnosis using gene expression profiles N Yukinawa, S Oba, K Kato, S Ishii IEEE/ACM Transactions on Computational Biology and Bioinformatics 6 (2), 333-343, 2008 | 40 | 2008 |
| UNI-EM: an environment for deep neural network-based automated segmentation of neuronal electron microscopic images H Urakubo, T Bullmann, Y Kubota, S Oba, S Ishii Scientific reports 9 (1), 19413, 2019 | 38 | 2019 |
Kourosh MeshgiResearch Scientist, RIKEN AIPVerified email at sys.i.kyoto-u.ac.jp
