yoichi takenaka
yoichi takenaka
Faculty of Informatics, Kansai university
Verified email at
Cited by
Cited by
The transcriptional landscape of the mammalian genome
P Carninci, T Kasukawa, S Katayama, J Gough, MC Frith, N Maeda, ...
science 309 (5740), 1559-1563, 2005
Diagnostic assessment of deep learning algorithms for detection of lymph node metastases in women with breast cancer
BE Bejnordi, M Veta, PJ Van Diest, B Van Ginneken, N Karssemeijer, ...
Jama 318 (22), 2199-2210, 2017
Analysis of the mouse transcriptome based on functional annotation of 60,770 full-length cDNAs
RIKEN Genome Exploration Research Group Phase I Team: Carninci P. 2 Hayatsu ...
Nature 420 (6915), 563-573, 2002
The transcriptional network that controls growth arrest and differentiation in a human myeloid leukemia cell line
Nature genetics 41 (5), 553-562, 2009
Transcript annotation in FANTOM3: mouse gene catalog based on physical cDNAs
N Maeda, T Kasukawa, R Oyama, J Gough, M Frith, PG Engström, ...
PLoS genetics 2 (4), e62, 2006
Graph-based clustering for finding distant relationships in a large set of protein sequences
H Kawaji, Y Takenaka, H Matsuda
Bioinformatics 20 (2), 243-252, 2004
Gene expression profile prospectively predicts peritoneal relapse after curative surgery of gastric cancer
A Takeno, I Takemasa, S Seno, M Yamasaki, M Motoori, H Miyata, ...
Annals of surgical oncology 17, 1033-1042, 2010
A proposal of neuron filter: A constraint resolution scheme of neural networks for combinatorial optimization problems
Y Takenaka, N Funabiki, T Higashino
IEICE transactions on fundamentals of electronics, communications and …, 2000
A maximum neural network approach for N-queens problems
N Funabiki, Y Takenaka, S Nishikawa
Biological Cybernetics 76 (4), 251-255, 1997
An estimation method for inference of gene regulatory net-work using Bayesian network with uniting of partial problems
Y Watanabe, S Seno, Y Takenaka, H Matsuda
BMC genomics 13, 1-9, 2012
Inference of S-system models of gene regulatory networks using immune algorithm
T Nakayama, S Seno, Y Takenaka, H Matsuda
Journal of Bioinformatics and Computational Biology 9 (supp01), 75-86, 2011
A method for clustering gene expression data based on graph structure
S Seno, R Teramoto, Y Takenaka, H Matsuda
Genome Informatics 15 (2), 151-160, 2004
Chromatin 3D reconstruction from chromosomal contacts using a genetic algorithm
V Kapilevich, S Seno, H Matsuda, Y Takenaka
IEEE/ACM transactions on computational biology and bioinformatics 16 (5 …, 2018
Maximum neural network algorithms for N-Queen problems
Y Takenaka
J. IPSJ 37 (10), 1781-1788, 1996
An expanded maximum neural network algorithm for a channel assignment problem in cellular radio networks
K Ikenaga, Y Takenaka, N Funabiki
Electronics and Communications in Japan (Part III: Fundamental Electronic …, 2000
An improved genetic algorithm using the convex hull for traveling salesman problem
Y Takenaka, N Funabiki
SMC'98 Conference Proceedings. 1998 IEEE International Conference on Systems …, 1998
Perfect Hamming code with a hash table for faster genome mapping
Y Takenaka, S Seno, H Matsuda
BMC genomics 12, 1-11, 2011
竹中要一, 若尾岳志
自然言語処理 19 (3), 193-212, 2012
An estimation method for a cellular-state-specific gene regulatory network along tree-structured gene expression profiles
R Araki, S Seno, Y Takenaka, H Matsuda
Gene 518 (1), 17-25, 2013
Genotype-based epigenetic differences in monozygotic twins discordant for positive antithyroglobulin autoantibodies
M Watanabe, Y Takenaka, C Honda, Osaka Twin Research Group, ...
Thyroid 28 (1), 110-123, 2018
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