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Kaname Kojima
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2020 – today
- 2020
- [j18]Kaname Kojima, Shu Tadaka, Fumiki Katsuoka, Gen Tamiya, Masayuki Yamamoto, Kengo Kinoshita:
A genotype imputation method for de-identified haplotype reference information by using recurrent neural network. PLoS Comput. Biol. 16(10) (2020)
2010 – 2019
- 2018
- [j17]Takanori Hasegawa, Kaname Kojima, Yosuke Kawai, Masao Nagasaki:
Time-Series Filtering for Replicated Observations via a Kernel Approximate Bayesian Computation. IEEE Trans. Signal Process. 66(23): 6148-6161 (2018) - 2016
- [j16]Naoki Nariai, Kaname Kojima, Takahiro Mimori, Yosuke Kawai, Masao Nagasaki:
A Bayesian approach for estimating allele-specific expression from RNA-Seq data with diploid genomes. BMC Genom. 17(S-1): 2 (2016) - 2015
- [j15]Takahiro Mimori, Naoki Nariai, Kaname Kojima, Yukuto Sato, Yosuke Kawai, Yumi Yamaguchi-Kabata, Masao Nagasaki:
Estimating copy numbers of alleles from population-scale high-throughput sequencing data. BMC Bioinform. 16(S-1): S4 (2015) - [j14]Naoki Nariai, Kaname Kojima, Sakae Saito, Takahiro Mimori, Yukuto Sato, Yosuke Kawai, Yumi Yamaguchi-Kabata, Jun Yasuda, Masao Nagasaki:
HLA-VBSeq: accurate HLA typing at full resolution from whole-genome sequencing data. BMC Genom. 16(S-2): S7 (2015) - 2014
- [c5]Kaname Kojima, Naoki Nariai, Takahiro Mimori, Yumi Yamaguchi-Kabata, Yukuto Sato, Yosuke Kawai, Masao Nagasaki:
HapMonster: A Statistically Unified Approach for Variant Calling and Haplotyping Based on Phase-Informative Reads. AlCoB 2014: 107-118 - [c4]Tomohiko Ohtsuki, Naoki Nariai, Kaname Kojima, Takahiro Mimori, Yukuto Sato, Yosuke Kawai, Yumi Yamaguchi-Kabata, Tetsuo Shibuya, Masao Nagasaki:
SVEM: A Structural Variant Estimation Method Using Multi-mapped Reads on Breakpoints. AlCoB 2014: 208-219 - 2013
- [j13]Naoki Nariai, Osamu Hirose, Kaname Kojima, Masao Nagasaki:
TIGAR: transcript isoform abundance estimation method with gapped alignment of RNA-Seq data by variational Bayesian inference. Bioinform. 29(18): 2292-2299 (2013) - [j12]Kaname Kojima, Naoki Nariai, Takahiro Mimori, Mamoru Takahashi, Yumi Yamaguchi-Kabata, Yukuto Sato, Masao Nagasaki:
A statistical variant calling approach from pedigree information and local haplotyping with phase informative reads. Bioinform. 29(22): 2835-2843 (2013) - [j11]Takahiro Mimori, Naoki Nariai, Kaname Kojima, Mamoru Takahashi, Akira Ono, Yukuto Sato, Yumi Yamaguchi-Kabata, Masao Nagasaki:
iSVP: an integrated structural variant calling pipeline from high-throughput sequencing data. BMC Syst. Biol. 7(S-6): S8 (2013) - 2012
- [j10]Kaname Kojima, Seiya Imoto, Rui Yamaguchi, André Fujita, Mai Yamauchi, Noriko Gotoh, Satoru Miyano:
Identifying regulational alterations in gene regulatory networks by state space representation of vector autoregressive models and variational annealing. BMC Genom. 13(S-1): S6 (2012) - [j9]André Fujita, Patricia Severino, Kaname Kojima, João Ricardo Sato, Alexandre Galvão Patriota, Satoru Miyano:
Functional clustering of time series gene expression data by Granger causality. BMC Syst. Biol. 6: 137 (2012) - 2010
- [j8]André Fujita, Kaname Kojima, Alexandre Galvão Patriota, João Ricardo Sato, Patricia Severino, Satoru Miyano:
A fast and robust statistical test based on likelihood ratio with Bartlett correction to identify Granger causality between gene sets. Bioinform. 26(18): 2349-2351 (2010) - [j7]Kaname Kojima, Masao Nagasaki, Satoru Miyano:
An efficient biological pathway layout algorithm combining grid-layout and spring embedder for complicated cellular location information. BMC Bioinform. 11: 335 (2010) - [j6]Masao Nagasaki, Ayumu Saito, Euna Jeong, Chen Li, Kaname Kojima, Emi Ikeda, Satoru Miyano:
Cell Illustrator 4.0: A Computational Platform for Systems Biology. Silico Biol. 10(1-2): 5-26 (2010) - [j5]André Fujita, João Ricardo Sato, Kaname Kojima, Luciana Rodrigues Gomes, Masao Nagasaki, Mari Cleide Sogayar, Satoru Miyano:
Identification of Granger Causality between Gene Sets. J. Bioinform. Comput. Biol. 8(4): 679-701 (2010) - [j4]Kaname Kojima, Eric Perrier, Seiya Imoto, Satoru Miyano:
Optimal Search on Clustered Structural Constraint for Learning Bayesian Network Structure. J. Mach. Learn. Res. 11: 285-310 (2010) - [c3]Tomoya Higashigaki, Kaname Kojima, Rui Yamaguchi, Masato Inoue, Seiya Imoto, Satoru Miyano:
Identifying Hidden Confounders in Gene Networks by Bayesian Networks. BIBE 2010: 168-173 - [c2]Seiya Imoto, Kaname Kojima, Eric Perrier, Yoshinori Tamada, Satoru Miyano:
Searching Optimal Bayesian Network Structure on Constraint Search Space: Super-Structure Approach. JSAI-isAI Workshops 2010: 210-218
2000 – 2009
- 2009
- [j3]Tatsunori B. Hashimoto, Masao Nagasaki, Kaname Kojima, Satoru Miyano:
BFL: a node and edge betweenness based fast layout algorithm for large scale networks. BMC Bioinform. 10 (2009) - 2008
- [j2]Kaname Kojima, Masao Nagasaki, Satoru Miyano:
Fast grid layout algorithm for biological networks with sweep calculation. Bioinform. 24(12): 1433-1441 (2008) - 2007
- [j1]Kaname Kojima, Masao Nagasaki, Euna Jeong, Mitsuru Kato, Satoru Miyano:
An efficient grid layout algorithm for biological networks utilizing various biological attributes. BMC Bioinform. 8 (2007) - 2006
- [c1]Koji Iwano, Kaname Kojima, Sadaoki Furui:
A weight estimation method using LDA for multi-band speech recognition. INTERSPEECH 2006
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