Author

Mamoru Kato

National Cancer Center Research InstituteORCID 0000-0002-8485-8316Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genomics· 2 Bioinformatics· 1 Genetic & Genomic Medicine· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Approach:statistical model· 3 Research Focus:differential expression· 2 Research Focus:gene regulatory network inference· 2 Assay:GWAS summary statistics· 2 Research Focus:clustering· 1 Research Focus:drug response / drug discovery· 1 Research Focus:GWAS / association mapping· 1

Frequent Co-Authors

Eisaku Furukawa· 2 shared Jo NishinoiD· 2 shared Momoko Nagai· 2 shared Tatsuhiro ShibataiD· 2 shared Daichi NarushimaiD· 1 shared Daichi ShigemizuiD· 1 shared Daisuke ShiokawaiD· 1 shared Fuyuki MiyaiD· 1 shared

Activity by Year

2018-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 19 mutual co-author links

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2 shared papersBioinformatics

Eisaku Furukawa

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

tugMedi: simulator of cancer-cell evolution for personalized medicine based on the genomic data of patients

Iurii Nagornov, Eisaku Furukawa, Momoko Nagai, Shigehiro Yagishita, Tatsuhiro Shibata, Mamoru Kato

tugMedi simulates cancer-cell evolution using patient genomic data to predict drug responses and tumor dynamics.

npj Systems Biology and Applications · May 13, 2026Peer-reviewedBioinformatics

Gene-based Hardy-Weinberg equilibrium test using genotype count data identifies novel cancer-related genes

Jo Nishino, Fuyuki Miya, Mamoru Kato

The paper introduces a gene-based Hardy-Weinberg equilibrium test (gene-HWT) to identify cancer-related genes by aggregating SNP-level HWE statistics, finding novel genes and variants associated with cancer.

medRxiv · Mar 20, 2024 · PreprintGenetic & Genomic Medicine

Single-cell DNA and RNA sequencing reveals the dynamics of intra-tumor heterogeneity in a colorectal cancer model

Hanako Ono, Yasuhito Arai, Eisaku Furukawa, Daichi Narushima, Tetsuya Matsuura, Hiromi K. Nakamura, Daisuke Shiokawa, Momoko Nagai, Toshio Imai, Koshi Mimori, Koji Okamoto, Yoshitaka Hippo, Tatsuhiro Shibata, Mamoru Kato

This study uses single-cell DNA and RNA sequencing to analyze intra-tumor heterogeneity dynamics in a mouse colorectal cancer model, finding increased RNA heterogeneity and decreased DNA heterogeneity after transplantation.

BMC Biology · Sep 21, 2021Peer-reviewedGenomics

Empirical Bayes estimation of semi-parametric hierarchical mixture models for unbiased characterization of polygenic disease architectures

Jo Nishino, Yuta Kochi, Daichi Shigemizu, Mamoru Kato, Katsunori Ikari, Hidenori Ochi, Hisashi Noma, Kota Matsui, Takashi Morizono, Keith A. Boroevich, Tatsuhiko Tsunoda, Shigeyuki Matsui

The paper uses empirical Bayes estimation of semi-parametric hierarchical mixture models to analyze GWAS summary statistics and characterize the polygenic architectures of schizophrenia and rheumatoid arthritis.

Frontiers in Genetics · Apr 24, 2018Peer-reviewedGenomics