Yoichi Yamada

发表

Performance Evaluation of Parallel Processing Environment for Molecular Dynamics

Kenji Satou, Keita Teranishi, Yoichi M. A. Yamada, 2008 .

Comparison of Cluster Identification Methods for Selection of GO Terms related to Gene Clusters

K. Satou, Yoichi Yamada, Y. Miyata, 2008 .

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 comprehensive analysis of allelic methylation status of CpG islands on human chromosome 21q.

Yoshiyuki Sakaki, Yoichi Yamada, Hidemi Watanabe, 2004, Genome research.

NF-κB-induced NOX1 activation promotes gastric tumorigenesis through the expansion of SOX2-positive epithelial cells

T. Minamoto, M. Oshima, Yoichi Yamada, 2019, Oncogene.

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

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

A method for identifying allele-specific hydroxymethylation

Yoichi Yamada, Shoto Sasaki, 2020, Epigenetics.

Regional DNA methylation differences between humans and chimpanzees are associated with genetic changes, transcriptional divergence and disease genes

N. Saitou, H. Soejima, H. Sasaki, 2013, Journal of Human Genetics.

Changes of phospho-growth-associated protein 43 (phospho-GAP43) in the zebrafish retina after optic nerve injury: A long-term observation

K. Muramoto, Mamoru Kubo, Yoichi Yamada, 2008, Neuroscience Research.

Highly efficient PCR assay to discriminate allelic DNA methylation status using whole genome amplification

Takashi Ito, Yoichi Yamada, 2011, BMC Research Notes.

The developing Xenopus embryo as a complex system: Maternal and zygotic contribution of gene products in nucleo-cytoplasmic and cell-to-cell interactions

K. Shiokawa, J. Shinga, Yoichi Yamada, 1997 .

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

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

Ranking and selection of features for improved prediction of nucleosome occupancy and modification

K. Satou, Yoichi Yamada, Masanori Higashihara, 2008 .

Factors to preserve CpG-rich sequences in methylated CpG islands

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

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

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

Prediction of methylation status on DNA sequences and identification of its important DNA sequence features

K. Satou, Yoichi Yamada, 2008 .

Prediction of Genomic Methylation Status on CpG Islands Using DNA Sequence Features

K. Satou, Yoichi Yamada, 2008 .

A comprehensive analysis of allelic methylation status of CpG islands on human chromosome 11q: Comparison with chromosome 21q

Yoshiyuki Sakaki, Yoichi Yamada, Kohji Okamura, 2006, DNA sequence : the journal of DNA sequencing and mapping.

An evolutionary scenario for genomic imprinting of Impact lying between nonimprinted neighbors.

K. Okamura, Y. Sakaki, Takashi Ito, 2004, DNA research : an international journal for rapid publication of reports on genes and genomes.

Myeloid Differentiation Factor 88 Signaling in Bone Marrow–Derived Cells Promotes Gastric Tumorigenesis by Generation of Inflammatory Microenvironment

T. Taniguchi, H. Saya, B. Jenkins, 2016, Cancer Prevention Research.

Prediction of Subnuclear Location for Nuclear Protein

Kenji Satou, Bedy Purnama, Mamoru Kubo, 2019, BIOINFORMATICS.

Diverse DNA methylation statuses at alternative promoters of human genes in various tissues.

K. Nakai, S. Sugano, Yutaka Suzuki, 2006, DNA research : an international journal for rapid publication of reports on genes and genomes.

A yeast one-hybrid system to detect methylation-dependent DNA-protein interactions.

K. Ota, Takashi Ito, Yoichi Yamada, 2004, Biochemical and biophysical research communications.

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.

Predicting Βeta-Turns and Βeta-Turn Types Using a Novel Over-Sampling Approach

Kenji Satou, Sergey Gavrilov, Mamoru Kubo, 2014 .

RPD3 and UME6 are involved in the activation of PDR5 transcription and pleiotropic drug resistance in ρ0 cells of Saccharomyces cerevisiae

Yoichi Yamada, 2021, BMC microbiology.

Validation of MIMGO: a method to identify differentially expressed GO terms in a microarray dataset

K. Satou, M. Oshima, Yoichi Yamada, 2012, BMC Research Notes.

Intestinal cancer progression by mutant p53 through the acquisition of invasiveness associated with complex glandular formation

A. Ochiai, M. Taketo, R. Ohki, 2017, Oncogene.

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

Kenji Satou, Osamu Hirose, Mamoru Kubo, 2014 .

Improving the Prediction of Protein-Protein Interaction Sites Using a Novel Over-Sampling Approach and Predicted Shape Strings

Xuan Tho Dang, Vu Anh Tran, K. Satou, 2013 .

Estimation of identification methods of gene clusters using GO term annotations from a hierarchical cluster tree

Kenji Satou, Yoichi M. A. Yamada, Yuki Miyata, 2008 .

TNF-α/TNFR1 signaling promotes gastric tumorigenesis through induction of Noxo1 and Gna14 in tumor cells

H. Saya, K. Naka, T. Minamoto, 2014, Oncogene.

Inflammation-induced repression of tumor suppressor miR-7 in gastric tumor cells

S. Yamashita, T. Ishikawa, M. Oshima, 2012, Oncogene.

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.

IMPACT: A Novel Clustering Algorithm based on Attraction

Jiuyong Li, Kenji Satou, Mamoru Kubo, 2012, J. Comput..