Naoto Yukinawa
Title
Cited by
Cited by
Year
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
372008
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), 1-13, 2006
332006
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
262011
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
92019
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
82005
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
52005
Multi-class pattern classification based on a probabilistic model of combining binary classifiers
N Yukinawa, S Oba, K Kato, S Ishii
International Conference on Artificial Neural Networks, 337-342, 2005
42005
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
12016
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, 石井信
電子情報通信学会技術研究報告. NC, ニューロコンピューティング 104 (760), 165-170, 2005
2005
Modeling Gene Expression Dynamics Based on a Linear Dynamical System Model
N Yukinawa, J Yoshimoto, S Oba, S Ishii
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Articles 1–17