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1.

A fine-scale genetic map of the Japanese population.

Takayama, Jun; Makino, Satoshi; Funayama, Takamitsu; Ueki, Masao; Narita, Akira; Murakami, Keiko; Orui, Masatsugu; Ishikuro, Mami; Obara, Taku; Kuriyama, Shinichi; Yamamoto, Masayuki; Tamiya, Gen.

Clin Genet; 2024 May 08.

Artículo en Inglés | MEDLINE | ID: mdl-38719617

2.

Artificial intelligence powered statistical genetics in biobanks.

Narita, Akira; Ueki, Masao; Tamiya, Gen.

J Hum Genet; 66(1): 61-65, 2021 Jan.

Artículo en Inglés | MEDLINE | ID: mdl-32782383

3.

Growth impairment in individuals with citrin deficiency.

Numakura, Chikahiko; Tamiya, Gen; Ueki, Masao; Okada, Tomoo; Maisawa, Shun-Ichi; Kojima-Ishii, Kanako; Murakami, Jun; Horikawa, Reiko; Tokuhara, Daisuke; Ito, Koichi; Adachi, Masanori; Abiko, Takahiro; Mitsui, Tetsuo; Hayasaka, Kiyoshi.

J Inherit Metab Dis; 42(3): 501-508, 2019 05.

Artículo en Inglés | MEDLINE | ID: mdl-30715743

4.

Detecting genetic association through shortest paths in a bidirected graph.

Ueki, Masao; Kawasaki, Yoshinori; Tamiya, Gen.

Genet Epidemiol; 41(6): 481-497, 2017 09.

Artículo en Inglés | MEDLINE | ID: mdl-28626864

5.

Smooth-Threshold Multivariate Genetic Prediction with Unbiased Model Selection.

Ueki, Masao; Tamiya, Gen.

Genet Epidemiol; 40(3): 233-43, 2016 Apr.

Artículo en Inglés | MEDLINE | ID: mdl-26947266

6.

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

Tamiya, Gen; Makino, Satoshi; Hayashi, Makiko; Abe, Akiko; Numakura, Chikahiko; Ueki, Masao; Tanaka, Atsushi; Ito, Chizuru; Toshimori, Kiyotaka; Ogawa, Nobuhiro; Terashima, Tomoya; Maegawa, Hiroshi; Yanagisawa, Daijiro; Tooyama, Ikuo; Tada, Masayoshi; Onodera, Osamu; Hayasaka, Kiyoshi.

Am J Hum Genet; 95(3): 294-300, 2014 Sep 04.

Artículo en Inglés | MEDLINE | ID: mdl-25152455

7.

A pollen coat-inducible autoinhibited Ca2+-ATPase expressed in stigmatic papilla cells is required for compatible pollination in the Brassicaceae.

Iwano, Megumi; Igarashi, Motoko; Tarutani, Yoshiaki; Kaothien-Nakayama, Pulla; Nakayama, Hideki; Moriyama, Hideki; Yakabe, Ryo; Entani, Tetsuyuki; Shimosato-Asano, Hiroko; Ueki, Masao; Tamiya, Gen; Takayama, Seiji.

Plant Cell; 26(2): 636-49, 2014 Feb.

Artículo en Inglés | MEDLINE | ID: mdl-24569769

8.

Improved statistics for genome-wide interaction analysis.

Ueki, Masao; Cordell, Heather J.

PLoS Genet; 8(4): e1002625, 2012.

Artículo en Inglés | MEDLINE | ID: mdl-22496670

9.

On the choice of degrees of freedom for testing gene-gene interactions.

Ueki, Masao.

Stat Med; 33(28): 4934-48, 2014 Dec 10.

Artículo en Inglés | MEDLINE | ID: mdl-25043617

10.

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

Ueki, Masao.

J Appl Stat; 50(7): 1650-1663, 2023.

Artículo en Inglés | MEDLINE | ID: mdl-37197760

11.

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

Takahashi, Yuta; Murata, Shingo; Ueki, Masao; Tomita, Hiroaki; Yamashita, Yuichi.

Comput Psychiatr; 7(1): 14-29, 2023.

Artículo en Inglés | MEDLINE | ID: mdl-38774640

12.

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

Ueki, Masao; Tamiya, Gen.

BMC Bioinformatics; 13: 72, 2012 May 03.

Artículo en Inglés | MEDLINE | ID: mdl-22554139

13.

Smooth-threshold multivariate genetic prediction incorporating gene-environment interactions.

Ueki, Masao; Tamiya, Gen.

G3 (Bethesda); 11(12)2021 12 08.

Artículo en Inglés | MEDLINE | ID: mdl-34849749

14.

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

Takahashi, Yuta; Yoshizoe, Kazuki; Ueki, Masao; Tamiya, Gen; Zhiqian, Yu; Utsumi, Yusuke; Sakuma, Atsushi; Tsuda, Koji; Hozawa, Atsushi; Tsuji, Ichiro; Tomita, Hiroaki.

Sci Rep; 10(1): 21726, 2020 12 10.

Artículo en Inglés | MEDLINE | ID: mdl-33303893

15.

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

Takahashi, Yuta; Ueki, Masao; Yamada, Makoto; Tamiya, Gen; Motoike, Ikuko N; Saigusa, Daisuke; Sakurai, Miyuki; Nagami, Fuji; Ogishima, Soichi; Koshiba, Seizo; Kinoshita, Kengo; Yamamoto, Masayuki; Tomita, Hiroaki.

Transl Psychiatry; 10(1): 157, 2020 05 19.

Artículo en Inglés | MEDLINE | ID: mdl-32427830

16.

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

Takahashi, Yuta; Ueki, Masao; Tamiya, Gen; Ogishima, Soichi; Kinoshita, Kengo; Hozawa, Atsushi; Minegishi, Naoko; Nagami, Fuji; Fukumoto, Kentaro; Otsuka, Kotaro; Tanno, Kozo; Sakata, Kiyomi; Shimizu, Atsushi; Sasaki, Makoto; Sobue, Kenji; Kure, Shigeo; Yamamoto, Masayuki; Tomita, Hiroaki.

Transl Psychiatry; 10(1): 294, 2020 08 17.

Artículo en Inglés | MEDLINE | ID: mdl-32826857

17.

Clustering by phenotype and genome-wide association study in autism.

Narita, Akira; Nagai, Masato; Mizuno, Satoshi; Ogishima, Soichi; Tamiya, Gen; Ueki, Masao; Sakurai, Rieko; Makino, Satoshi; Obara, Taku; Ishikuro, Mami; Yamanaka, Chizuru; Matsubara, Hiroko; Kuniyoshi, Yasutaka; Murakami, Keiko; Ueno, Fumihiko; Noda, Aoi; Kobayashi, Tomoko; Kobayashi, Mika; Usuzaki, Takuma; Ohseto, Hisashi; Hozawa, Atsushi; Kikuya, Masahiro; Metoki, Hirohito; Kure, Shigeo; Kuriyama, Shinichi.

Transl Psychiatry; 10(1): 290, 2020 08 17.

Artículo en Inglés | MEDLINE | ID: mdl-32807774

18.

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

Ueki, Masao; Fujii, Masahiro; Tamiya, Gen.

PLoS One; 14(7): e0219825, 2019.

Artículo en Inglés | MEDLINE | ID: mdl-31318927

19.

Outlier detection for questionnaire data in biobanks.

Sakurai, Rieko; Ueki, Masao; Makino, Satoshi; Hozawa, Atsushi; Kuriyama, Shinichi; Takai-Igarashi, Takako; Kinoshita, Kengo; Yamamoto, Masayuki; Tamiya, Gen.

Int J Epidemiol; 48(4): 1305-1315, 2019 08 01.

Artículo en Inglés | MEDLINE | ID: mdl-30848787

20.

Automated acquisition of explainable knowledge from unannotated histopathology images.

Yamamoto, Yoichiro; Tsuzuki, Toyonori; Akatsuka, Jun; Ueki, Masao; Morikawa, Hiromu; Numata, Yasushi; Takahara, Taishi; Tsuyuki, Takuji; Tsutsumi, Kotaro; Nakazawa, Ryuto; Shimizu, Akira; Maeda, Ichiro; Tsuchiya, Shinichi; Kanno, Hiroyuki; Kondo, Yukihiro; Fukumoto, Manabu; Tamiya, Gen; Ueda, Naonori; Kimura, Go.

Nat Commun; 10(1): 5642, 2019 12 18.

Artículo en Inglés | MEDLINE | ID: mdl-31852890

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A fine-scale genetic map of the Japanese population.

Artificial intelligence powered statistical genetics in biobanks.

Growth impairment in individuals with citrin deficiency.

Detecting genetic association through shortest paths in a bidirected graph.

Smooth-Threshold Multivariate Genetic Prediction with Unbiased Model Selection.

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

A pollen coat-inducible autoinhibited Ca2+-ATPase expressed in stigmatic papilla cells is required for compatible pollination in the Brassicaceae.

Improved statistics for genome-wide interaction analysis.

On the choice of degrees of freedom for testing gene-gene interactions.

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

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

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

Smooth-threshold multivariate genetic prediction incorporating gene-environment interactions.

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

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

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

Clustering by phenotype and genome-wide association study in autism.

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

Outlier detection for questionnaire data in biobanks.

Automated acquisition of explainable knowledge from unannotated histopathology images.