Kaname Kojima

发表

Identifying Hidden Confounders in Gene Networks by Bayesian Networks

Masato Inoue, Satoru Miyano, Seiya Imoto, 2010, 2010 IEEE International Conference on BioInformatics and BioEngineering.

A Recurrent Neural Network Based Method for Genotype Imputation on Phased Genotype Data

Gen Tamiya, Masayuki Yamamoto, Kaname Kojima, 2019 .

Estimating copy numbers of alleles from population-scale high-throughput sequencing data

Masao Nagasaki, Kaname Kojima, Naoki Nariai, 2015, BMC Bioinformatics.

Identification of Granger Causality between Gene Sets

João Ricardo Sato, Masao Nagasaki, Satoru Miyano, 2010, J. Bioinform. Comput. Biol..

An efficient grid layout algorithm for biological networks utilizing various biological attributes

Masao Nagasaki, Satoru Miyano, Kaname Kojima, 2007, BMC Bioinformatics.

A fast and robust statistical test based on likelihood ratio with Bartlett correction to identify Granger causality between gene sets

João Ricardo Sato, Satoru Miyano, Alexandre Galvão Patriota, 2010, Bioinform..

Cell Illustrator 4.0: A Computational Platform for Systems Biology

Masao Nagasaki, Satoru Miyano, Chen Li, 2010, Silico Biol..

300 Mbps Downlink Communications from 50kg Class Small Satellites

Takahide Mizuno, Hirobumi Saito, Hiromi Watanabe, 2013 .

An efficient biological pathway layout algorithm combining grid-layout and spring embedder for complicated cellular location information

Masao Nagasaki, Satoru Miyano, Kaname Kojima, 2010, BMC Bioinformatics.

A Bayesian approach for estimating allele-specific expression from RNA-Seq data with diploid genomes

Masao Nagasaki, Kaname Kojima, Naoki Nariai, 2016, BMC Genomics.

A statistical variant calling approach from pedigree information and local haplotyping with phase informative reads

Masao Nagasaki, Kaname Kojima, Naoki Nariai, 2013, Bioinform..

A state space representation of VAR models with sparse learning for dynamic gene networks.

Masao Nagasaki, Satoru Miyano, Teppei Shimamura, 2010, Genome informatics. International Conference on Genome Informatics.

Functional clustering of time series gene expression data by Granger causality

João Ricardo Sato, Satoru Miyano, Alexandre Galvão Patriota, 2012, BMC Systems Biology.

883 ‘DermAnnotation’ is All You Need; methodology to transfer knowledges of dermatologists to artificial intelligence

Kaname Kojima, Setsuya Aiba, Kosuke Shido, 2020 .

A weight estimation method using LDA for multi-band speech recognition

Sadaoki Furui, Koji Iwano, Kaname Kojima, 2006, INTERSPEECH.

Identifying regulational alterations in gene regulatory networks by state space representation of vector autoregressive models and variational annealing

Satoru Miyano, Seiya Imoto, Rui Yamaguchi, 2012, BMC Genomics.

SVEM: A Structural Variant Estimation Method Using Multi-mapped Reads on Breakpoints

Masao Nagasaki, Tetsuo Shibuya, Kaname Kojima, 2014, AlCoB.

iSVP: an integrated structural variant calling pipeline from high-throughput sequencing data

Akira Ono, Masao Nagasaki, Kaname Kojima, 2013, BMC Systems Biology.

HLA-VBSeq: accurate HLA typing at full resolution from whole-genome sequencing data

Masao Nagasaki, Kaname Kojima, Naoki Nariai, 2015, BMC Genomics.

Searching Optimal Bayesian Network Structure on Constraint Search Space: Super-Structure Approach

Satoru Miyano, Seiya Imoto, Eric Perrier, 2010, JSAI-isAI Workshops.

Estimation of nonlinear gene regulatory networks via L1 regularized NVAR from time series gene expression data.

Satoru Miyano, André Fujita, Teppei Shimamura, 2008, Genome informatics. International Conference on Genome Informatics.

HapMonster: A Statistically Unified Approach for Variant Calling and Haplotyping Based on Phase-Informative Reads

Masao Nagasaki, Kaname Kojima, Naoki Nariai, 2014, AlCoB.

Gene regulatory network clustering for graph layout based on microarray gene expression data.

Masao Nagasaki, Satoru Miyano, Seiya Imoto, 2010, Genome informatics. International Conference on Genome Informatics.

Optimal Search on Clustered Structural Constraint for Learning Bayesian Network Structure

Satoru Miyano, Seiya Imoto, Eric Perrier, 2010, J. Mach. Learn. Res..

TIGAR: transcript isoform abundance estimation method with gapped alignment of RNA-Seq data by variational Bayesian inference

Masao Nagasaki, Kaname Kojima, Osamu Hirose, 2013, Bioinform..

BFL: a node and edge betweenness based fast layout algorithm for large scale networks

Masao Nagasaki, Satoru Miyano, Kaname Kojima, 2009, BMC Bioinformatics.

Fast Grid Layout Algorithm for Biological Networks with Sweep Calculation

Masao Nagasaki, Satoru Miyano, Kaname Kojima, 2022 .

HIGH-SPEED DOWNLINK COMMUNICATIONS WITH HUNDREDS Mbps FROM 50kg CLASS SMALL SATELLITES

Takahide Mizuno, Tomoya Fukami, Takahiro Shinke, 2012 .