| 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 |
| A multi-class predictor based on a probabilistic model: application to gene expression profiling-based diagnosis of thyroid tumors N Yukinawa, S Oba, K Kato, K Taniguchi, K Iwao-Koizumi, Y Tamaki, ... BMC genomics 7, 1-13, 2006 | 34 | 2006 |
| Balance between dopamine and adenosine signals regulates the PKA/Rap1 pathway in striatal medium spiny neurons X Zhang, T Nagai, RU Ahammad, K Kuroda, S Nakamuta, T Nakano, ... Neurochemistry international 122, 8-18, 2019 | 30 | 2019 |
| High‐Speed Multineuron Calcium Imaging Using Nipkow‐Type Confocal Microscopy N Takahashi, S Oba, N Yukinawa, S Ujita, M Mizunuma, N Matsuki, S Ishii, ... Current Protocols in Neuroscience 57 (1), 2.14. 1-2.14. 10, 2011 | 28 | 2011 |
| Adaptor-tagged competitive polymerase chain reaction: amplification bias and quantified gene expression levels H Kita-Matsuo, N Yukinawa, R Matoba, S Saito, S Oba, S Ishii, K Kato Analytical biochemistry 339 (1), 15-28, 2005 | 8 | 2005 |
| Two new FRET imaging measures: Linearly proportional to and highly contrasting the fraction of active molecules M Yamao, K Aoki, N Yukinawa, S Ishii, M Matsuda, H Naoki Plos one 11 (10), e0164254, 2016 | 5 | 2016 |
| System identification of gene expression time-series based on a linear dynamical system model with variational Bayesian estimation N YUKINAWA, JUNI YOSHIMOTO, S OBA, S ISHII 情報処理学会論文誌 46 (SIG10 (TOM12)), 57-65, 2005 | 5 | 2005 |
| Multi-class pattern classification based on a probabilistic model of combining binary classifiers N Yukinawa, S Oba, K Kato, S Ishii Artificial Neural Networks: Formal Models and Their Applications–ICANN 2005 …, 2005 | 4 | 2005 |
| P018 A cytoskeleton-based 3D morphological simulation method for detailed local structure of the developing neural cell N Yukinawa, H Naoki, S Ishii Informatics 2012, 202, 2012 | | 2012 |
| A simulation study of visual perceptual learning with attentional signals S Naito, N Yukinawa, S Ishii 電子情報通信学会技術研究報告 110 (461 (NC2010 127-201)), 77-82, 2011 | | 2011 |
| Learning spatio-temporal visual features by a large-scale neural network model N Yukinawa, S Ishii Front. Neurosci. Conference Abstract: Neuroinformatics, 2010 | | 2010 |
| A spiking neural network model of primary visual cortex for perceptual learning S Naito, N Yukinawa, S Ishii Neuroscience Research, e210-e211, 2010 | | 2010 |
| A Constrained Gaussian Mixture Model for Correlation-Based Cluster Analysis of Gene Expression Data N Yukinawa, T Yoshioka, K Kobayashi, N Ogasawara, S Ishii Information and Media Technologies 4 (4), 753-768, 2009 | | 2009 |
| DETECTION OF MULTIPLE OVERLAPPING STRING-SHAPED OBJECTS FROM REAL IMAGES C Maeda, S Oba, N Yukinawa, S Ishii IEICE Technical Report; IEICE Tech. Rep. 107 (413), 115-120, 2008 | | 2008 |
| Combining multiple decisions: applications to bioinformatics N Yukinawa, T Takenouchi, S Oba, S Ishii Journal of Physics: Conference Series 95 (1), 012018, 2008 | | 2008 |
| 二値分類器組み合わせの確率モデルに基づく多クラスパターン識別 行縄直人， 大羽成征， 加藤菊也 電子情報通信学会技術研究報告= IEICE technical report: 信学技報 104 (760 …, 2005 | | 2005 |
| Modeling Gene Expression Dynamics Based on a Linear Dynamical System Model N Yukinawa, J Yoshimoto, S Oba, S Ishii | | |
