Takako Takai

发表

Heart Rate Information-Based Machine Learning Prediction of Emotions Among Pregnant Women

N. Homma, S. Kuriyama, N. Sugita, 2022, Frontiers in Psychiatry.

Stroke genetics informs drug discovery and risk prediction across ancestries

Stephen R. Williams, Yan V. Sun, Y. J. Kim, 2022 .

Rare variant discovery by deep whole-genome sequencing of 1,070 Japanese individuals

Kengo Kinoshita, Masao Nagasaki, Naoki Nariai, 2015, Nature Communications.

Multiancestry genome-wide association study of 520,000 subjects identifies 32 loci associated with stroke and stroke subtypes

Andrew D. Johnson, Stephen R. Williams, P. Elliott, 2018, Nature Genetics.

The return of individual genomic results to research participants: design and pilot study of Tohoku Medical Megabank Project

J. Yasuda, S. Kuriyama, Y. Yamaguchi-Kabata, 2021, Journal of Human Genetics.

The return of individual genomic results to research participants: design and pilot study of Tohoku Medical Megabank Project

K. Kinoshita, J. Yasuda, S. Kuriyama, 2021, Journal of Human Genetics.

Comprehensive evaluation of machine learning algorithms for predicting sleep–wake conditions and differentiating between the wake conditions before and after sleep during pregnancy based on heart rate variability

N. Homma, N. Sugita, N. Yaegashi, 2023, Frontiers in Psychiatry.

Publisher Correction: Stroke genetics informs drug discovery and risk prediction across ancestries

Sebastian M. Armasu, Andrew D. Johnson, Stephen R. Williams, 2022, Nature.

Stroke genetics informs drug discovery and risk prediction across ancestries

Sebastian M. Armasu, Laurent F. Thomas, J. Danesh, 2022, Nature.