Masao Ueki

发表

Illuminating Clues of Cancer Buried in Prostate MR Image: Deep Learning and Expert Approaches

Jun Akatsuka, Yoichiro Yamamoto, Tetsuro Sekine, 2019, Biomolecules.

Bayesian generalized fused lasso modeling via NEG distribution

S. Konishi, Shuichi Kawano, Masao Ueki, 2016, Communications in Statistics - Theory and Methods.

Machine learning to reveal hidden risk combinations for the trajectory of posttraumatic stress disorder symptoms

K. Tsuda, Kazuki Yoshizoe, I. Tsuji, 2020, Scientific Reports.

Smooth‐Threshold Multivariate Genetic Prediction with Unbiased Model Selection

G. Tamiya, Masao Ueki, 2016, Genetic epidemiology.

Improved metabolomic data-based prediction of depressive symptoms using nonlinear machine learning with feature selection

Kengo Kinoshita, Makoto Yamada, Masao Ueki, 2020, Translational Psychiatry.

3.5KJPNv2, An allele frequency panel of 3,552 Japanese Individuals

K. Kinoshita, J. Yasuda, M. Nagasaki, 2019, bioRxiv.

3.5KJPNv2: an allele frequency panel of 3552 Japanese individuals including the X chromosome

K. Kinoshita, J. Yasuda, M. Nagasaki, 2019, Human Genome Variation.

Clustering by phenotype and genome-wide association study in autism

M. Kikuya, S. Kuriyama, M. Nagai, 2020, Translational Psychiatry.

Clustering by phenotype and genome-wide association study in autism

M. Kikuya, S. Kuriyama, M. Nagai, 2019, bioRxiv.

Potential identification of vitamin B6 responsiveness in autism spectrum disorder utilizing phenotype variables and machine learning methods

M. Kikuya, S. Kuriyama, M. Nagai, 2018, Scientific Reports.

Detecting genetic association through shortest paths in a bidirected graph

G. Tamiya, Masao Ueki, Y. Kawasaki, 2017, Genetic epidemiology.

Risk assessment of re-emerging Plasmodium falciparum on Ishigaki Island using a stochastic transmission model

Masao Ueki, H. Ohmae, K. Fueda, 2009 .

Artificial intelligence powered statistical genetics in biobanks

G. Tamiya, Masao Ueki, A. Narita, 2020, Journal of Human Genetics.

Machine learning for effectively avoiding overfitting is a crucial strategy for the genetic prediction of polygenic psychiatric phenotypes

K. Kinoshita, G. Tamiya, H. Tomita, 2020, Translational Psychiatry.

Immunohistopathological analysis of frizzled-4-positive immature melanocytes from hair follicles of patients with Rhododenol-induced leukoderma.

G. Tamiya, M. Yamakawa, Masao Ueki, 2015, Journal of dermatological science.

Potential identification of vitamin B6 responsiveness in autism spectrum disorder utilizing phenotype variables and machine learning methods

M. Kikuya, S. Kuriyama, M. Nagai, 2018, Scientific Reports.

Ultrahigh-dimensional variable selection method for whole-genome gene-gene interaction analysis

Masao Ueki, Gen Tamiya, G. Tamiya, 2012, BMC Bioinformatics.

Quick assessment for systematic test statistic inflation/deflation due to null model misspecifications in genome-wide environment interaction studies

Masao Ueki, Gen Tamiya, Masahiro Fujii, 2019, PloS one.

Fast score test with global null estimation regardless of missing genotypes

Masao Ueki, Shuntaro Sato, 2018, PloS one.

A mutation of COX6A1 causes a recessive axonal or mixed form of Charcot-Marie-Tooth disease.

D. Yanagisawa, I. Tooyama, G. Tamiya, 2014, American journal of human genetics.

Epistatic interaction between Toll-like receptor 3 (TLR3) and prostaglandin E receptor 3 (PTGER3) genes.

S. Akira, T. Inatomi, C. Sotozono, 2012, The Journal of allergy and clinical immunology.

A Pollen Coat–Inducible Autoinhibited Ca2+-ATPase Expressed in Stigmatic Papilla Cells Is Required for Compatible Pollination in the Brassicaceae[W]

Y. Tarutani, R. Yakabe, G. Tamiya, 2014, Plant Cell.

Multiple choice from competing regression models under multicollinearity based on standardized update

Masao Ueki, Yoshinori Kawasaki, Masao Ueki, 2013, Comput. Stat. Data Anal..

Improved Statistics for Genome-Wide Interaction Analysis

Masao Ueki, Heather J. Cordell, H. Cordell, 2012, PLoS genetics.

Boosting local quasi-likelihood estimators

Masao Ueki, K. Fueda, 2010 .

Artificial intelligence powered statistical genetics in biobanks

Masao Ueki, Gen Tamiya, Akira Narita, 2020, Journal of Human Genetics.

SPARSE PREDICTIVE MODELING FOR BANK TELEMARKETING SUCCESS USING SMOOTH-THRESHOLD ESTIMATING EQUATIONS

Masao Ueki, Yoshinori Kawasaki, Masao Ueki, 2015 .

Impaired glucose metabolism slows executive function independent of cerebral ischemic lesions in Japanese elderly: the Takahata study.

Masao Ueki, Gen Tamiya, Takeo Kato, 2011, Internal medicine.

Improved metabolomic data-based prediction of depressive symptoms using nonlinear machine learning with feature selection

K. Kinoshita, G. Tamiya, H. Tomita, 2020, Translational Psychiatry.

Automated acquisition of knowledge beyond pathologists

Naonori Ueda, Jun Akatsuka, Hiromu Morikawa, 2019, bioRxiv.

Automated acquisition of explainable knowledge from unannotated histopathology images

Jun Akatsuka, Yoichiro Yamamoto, Hiromu Morikawa, 2019, Nature Communications.

A note on automatic variable selection using smooth-threshold estimating equations

Masao Ueki, Masao Ueki, 2009 .

Beta-negative binomial nonlinear spatio-temporal random effects modeling of COVID-19 case counts in Japan

Masao Ueki, 2022, Journal of applied statistics.

Growth impairment in individuals with citrin deficiency

G. Tamiya, K. Hayasaka, Masao Ueki, 2019, Journal of inherited metabolic disease.

The confounding effect of cryptic relatedness for environmental risks of systolic blood pressure on cohort studies

H. Yamashita, I. Kubota, G. Tamiya, 2013, Molecular genetics & genomic medicine.

Interaction between Functional Connectivity and Neural Excitability in Autism: A Novel Framework for Computational Modeling and Application to Biological Data

Yuichi Yamashita, Masao Ueki, Yuta Takahashi, 2023, Computational psychiatry.

Outlier detection for questionnaire data in biobanks.

Kengo Kinoshita, Masao Ueki, Gen Tamiya, 2019, International journal of epidemiology.

A fine-scale genetic map of the Japanese population

Masao Ueki, M. Ishikuro, K. Murakami, 2023, bioRxiv.

Automatic grouping using smooth-threshold estimating equations

Masao Ueki, Yoshinori Kawasaki, Masao Ueki, 2011 .

Testing conditional mean through regression model sequence using Yanai's generalized coefficient of determination

Masao Ueki, Alzheimer's Disease Neuroimaging Initiative, Masao Ueki, 2021, Comput. Stat. Data Anal..