Y. Takenaka

发表

Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer

Andrew H. Beck, Quirine F. Manson, Oren Z. Kraus, 2017, JAMA.

The Transcriptional Landscape of the Mammalian Genome

S. Salzberg, C. Bult, S. Batalov, 2005, Science.

Analysis of the mouse transcriptome based on functional annotation of 60,770 full-length cDNAs

E. Birney, E. Lander, C. Bult, 2002, Nature.

The transcriptional network that controls growth arrest and differentiation in a human myeloid leukemia cell line

Martin S. Taylor, Denis C. Bauer, Andrew M. Waterhouse, 2009, Nature Genetics.

Transcript Annotation in FANTOM3: Mouse Gene Catalog Based on Physical cDNAs

C. Bult, S. Batalov, D. Hill, 2006, PLoS genetics.

Perfect Hamming code with a hash table for faster genome mapping

Shigeto Seno, Yoichi Takenaka, Hideo Matsuda, 2011, BMC Genomics.

S. Seno, Y. Takenaka, H. Matsuda, 2006, PLoS genetics.

Improved Prediction Method for Protein Interactions Using Both Structural and Functional Characteristics of Proteins (IPSJ Transactions on Bioinformatics Vol.3)

Shigeto Seno, Yoichi Takenaka, Tatsuya Yoshikawa, 2010 .

Genotype-based epigenetic differences in monozygotic twins discordant for positive anti-thyroglobulin autoantibodies.

Y. Takenaka, Y. Iwatani, C. Honda, 2017, Thyroid : official journal of the American Thyroid Association.

A Method for Isoform Prediction from RNA-Seq Data by Iterative Mapping (IPSJ Transactions on Bioinformatics Vol.5)

S. Seno, Y. Takenaka, T. Ohno, 2012 .

DNA computing by competitive hybridization for maximum satisfiability problem

Y. Takenaka, A. Hashimoto, 2002, Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600).

A Proposal of Neuron Filter: A Constraint Resolution Scheme of Neural Networks for Combinatorial Optimization Problems

Teruo Higashino, Yoichi Takenaka, Nobuo Funabiki, 2000 .

Maximum Neural Network Algorithms for N-Queen Problems

Yoichi Takenaka, Nobuo Funabiki, Seishi Nishikawa, 1996 .

An expanded maximum neural network algorithm for a channel assignment problem in cellular radio networks

Yoichi Takenaka, Nobuo Funabiki, Katsuyoshi Ikenaga, 2000 .

Cytogenetic Studies in Nicotiana :XX. Reduction Divisions in Three Interspecific Hybrids and One Amphidiploid

Y. Takenaka, 1963 .

Cytogenetic studies inNicotiana XVI

Y. Takenaka, 1962 .

HEREDITARY TUMOR IN JAPANESE MORNING GLORY

Y. Takenaka, Yo Takenaka, Yoshiaki Yoneda, 1965 .

Tissue-specific functions based on information content of gene ontology using cap analysis gene expression

Yoichi Takenaka, Hideo Matsuda, Atsuko Matsumoto, 2007, Medical & Biological Engineering & Computing.

Discovery of widespread transcription initiation at microsatellites predictable by sequence-based deep neural network

Martin S. Taylor, Jay W. Shin, Thomas J. Ha, 2021, Nature Communications.

Graph-based clustering for finding distant relationships in a large set of protein sequences

Yoichi Takenaka, Hideo Matsuda, Hideya Kawaji, 2004, Bioinform..

THE ORIGIN OF THE YOSHINO CHERRY TREE

Y. Takenaka, 1963 .

On the Chromosomes of Lilium tigrinum, KER-GAWL

Y. Takenaka, T. Nagamatsu, 1930 .

Notes on Cytological Observations in Colchicum, with Reference to Autotoxicosis and Sterility

Y. Takenaka, 1950 .

On the Special Autosomes with Reference to the Sex-determination of Rumex acetosa, L.

Y. Takenaka, 1937 .

On the sex-chromosomes of Rumex montanus DESF

Y. Takenaka, 1930 .

Chromatin 3D Reconstruction from Chromosomal Contacts Using a Genetic Algorithm

Shigeto Seno, Yoichi Takenaka, Hideo Matsuda, 2019, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Collaborative environmental DNA sampling from petal surfaces of flowering cherry Cerasus × yedoensis ‘Somei-yoshino’ across the Japanese archipelago

Y. Takenaka, Yosuke Tanigawa, R. Yamashita, 2017, Journal of Plant Research.

Collaborative environmental DNA sampling from petal surfaces of flowering cherry Cerasus × yedoensis ‘Somei-yoshino’ across the Japanese archipelago

Y. Takenaka, Yosuke Tanigawa, R. Yamashita, 2017, Journal of Plant Research.

Shortening the Computational Time of the Fluorescent DNA Computing

Yoichi Takenaka, Akihiro Hashimoto, Y. Takenaka, 2002, DNA.

A proposal of "neuron mask" in neural network algorithm for combinatorial optimization problems

Yoichi Takenaka, Nobuo Funabiki, Seishi Nishikawa, 1997, Proceedings of International Conference on Neural Networks (ICNN'97).

A maximum neural network approach for N-queens problems

Yoichi Takenaka, Nobuo Funabiki, Seishi Nishikawa, 1997, Biological Cybernetics.

A non-feedback neuron filter algorithm for separated board-level routing problems in FPGA-based logic emulation systems

Yoichi Takenaka, Nobuo Funabiki, Y. Takenaka, 1999, IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339).

Metagenome fragment classification based on multiple motif-occurrence profiles

S. Seno, Y. Takenaka, H. Matsuda, 2014, PeerJ.

Mapping of Artificial Nucleosome Positioning Sequences to the Saccharomyces cerevisiae Genome

Y. Takenaka, H. Matsuda, S. Harashima, 2003 .

Collaborative environmental DNA sampling from petal surfaces of flowering cherry Cerasus × yedoensis ‘Somei-yoshino’ across the Japanese archipelago

Y. Takenaka, Yosuke Tanigawa, R. Yamashita, 2018, Journal of plant research.

Retrieving functionally similar bioinformatics workflows using TF-IDF filtering

Shigeto Seno, Yoichi Takenaka, Hideo Matsuda, 2007 .

Inference of S-system models of gene regulatory networks using immune algorithm.

Shigeto Seno, Yoichi Takenaka, Hideo Matsuda, 2011, Journal of bioinformatics and computational biology.

Automated transition analysis of activated gene regulation during diauxic nutrient shift in Escherichia coli and adipocyte differentiation in mouse cells

S. Seno, Y. Takenaka, H. Matsuda, 2018, BMC Bioinformatics.

Detecting shifts in gene regulatory networks during time-course experiments at single-time-point temporal resolution

Shigeto Seno, Yoichi Takenaka, Hideo Matsuda, 2015, J. Bioinform. Comput. Biol..

The transcriptional network that controls growth arrest and differentiation in a human myeloid leukemia cell line

Martin S. Taylor, Denis C. Bauer, Ariel S. Schwartz, 2009, Nature Genetics.

An estimation method for inference of gene regulatory net-work using Bayesian network with uniting of partial problems

S. Seno, Y. Takenaka, H. Matsuda, 2012, BMC Genomics.

Automated transition analysis of activated gene regulation during diauxic nutrient shift in Escherichia coli and adipocyte differentiation in mouse cells

Shigeto Seno, Yoichi Takenaka, Hideo Matsuda, 2018, BMC Bioinformatics.