Osamu Hirose

发表

PAAQD: Predicting immunogenicity of MHC class I binding peptides using amino acid pairwise contact potentials and quantum topological molecular similarity descriptors.

Kenji Satou, Yoichi Yamada, Osamu Hirose, 2013, Journal of immunological methods.

A model for subjective contour by anisotropic potential field maximization

T. Nagao, Osamu Hirose, 2007 .

A Novel Over-Sampling Method and its Application to Cancer Classification from Gene Expression Data

Kenji Satou, Mamoru Kubo, Yoichi M. A. Yamada, 2013 .

Clustering samples characterized by time course gene expression profiles using the mixture of state space models.

Satoru Miyano, Tomoyuki Higuchi, Seiya Imoto, 2007, Genome informatics. International Conference on Genome Informatics.

Predicting residue contacts for protein-protein interactions by integration of multiple information

Xuan Tho Dang, Vu Anh Tran, K. Satou, 2014 .

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..

Factors to preserve CpG-rich sequences in methylated CpG islands

K. Satou, Yoichi Yamada, Osamu Hirose, 2015, BMC Genomics.

A Self-organizing State Space Approach to Inferring Time-Varying Causalities between Regulatory Proteins

Kentaro Shimizu, Osamu Hirose, K. Shimizu, 2010, ITBAM.

A novel over-sampling method and its application to miRNA prediction

Kenji Satou, Osamu Hirose, Xuan Tho Dang, 2013 .

Automated detection and tracking of many cells by using 4D live-cell imaging data

Takayuki Teramoto, Takeshi Ishihara, Osamu Hirose, 2014, Bioinform..

EpicCapo: epitope prediction using combined information of amino acid pairwise contact potentials and HLA-peptide contact site information

Xuan Tho Dang, Vu Anh Tran, Thi Tu Kien Le, 2012, BMC Bioinformatics.

Acceleration of Non-Rigid Point Set Registration With Downsampling and Gaussian Process Regression

Osamu Hirose, Osamu Hirose, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Geodesic-Based Bayesian Coherent Point Drift

Osamu Hirose, 2022, IEEE Transactions on Pattern Analysis and Machine Intelligence.

A Bayesian Formulation of Coherent Point Drift

Osamu Hirose, Osamu Hirose, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Accurate Automatic Detection of Densely Distributed Cell Nuclei in 3D Space

Takayuki Teramoto, Takeshi Ishihara, Osamu Hirose, 2016, PLoS Comput. Biol..

Statistical inference of transcriptional module-based gene networks from time course gene expression profiles by using state space models

Satoru Miyano, Tomoyuki Higuchi, Rui Yamaguchi, 2008, Bioinform..

Dependent landmark drift: robust point set registration with a Gaussian mixture model and a statistical shape model

Osamu Hirose, Osamu Hirose, 2017, 1711.06588.

Dependent landmark drift: robust point set registration based on the Gaussian mixture model with a statistical shape model pdf

Osamu Hirose, Osamu Hirose, 2017, ArXiv.

D-IMPACT: A Data Preprocessing Algorithm to Improve the Performance of Clustering

Kenji Satou, Osamu Hirose, Mamoru Kubo, 2014 .

Prediction of Carbohydrate-Binding Proteins from Sequences Using Support Vector Machines

Kentaro Shimizu, Mizuki Morita, Seizi Someya, 2010, Adv. Bioinformatics.

A study of In-line Visual Inspection Technology by Modeling on “Peripheral Visual Inspection”: —“Detection” by using LCI Method and “Investigation” with Quasi-Phase-Shift Method—@@@—LCI法による欠陥の「発見」と擬似位相シフトによる「精査」—

Osamu Hirose, 2015 .

SPY: A Novel Resampling Method for Improving Classification Performance in Imbalanced Data

Kenji Satou, Osamu Hirose, Dang Hung Tran, 2015, 2015 Seventh International Conference on Knowledge and Systems Engineering (KSE).

SPF-CellTracker: Tracking Multiple Cells with Strongly-Correlated Moves Using a Spatial Particle Filter

Takeshi Ishihara, Osamu Hirose, Ryo Yoshida, 2015, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Dependent landmark drift: robust point set registration based on the Gaussian mixture model with a statistical shape model

Osamu Hirose, 2017, ArXiv.

EpicCapo: epitope prediction using combined information of amino acid pairwise contact potentials and HLA-peptide contact site information

Kenji Satou, Osamu Hirose, Mamoru Kubo, 2012, BMC Bioinformatics.