User profiles for D. Shigemizu

重水 大智 (Daichi Shigemizu), Ph.D

Medical Genome Center, National Center for Geriatrics and Gerontology.
Verified email at ncgg.go.jp
Cited by 2521

[HTML][HTML] DeepInsight: A methodology to transform a non-image data to an image for convolution neural network architecture

A Sharma, E Vans, D Shigemizu, KA Boroevich… - Scientific reports, 2019 - nature.com
… If the training set consisting of n samples is defined as χ = {x 1 , x 2 , …, x n } where a feature
vector has d features or \(x\in {{\mathbb{R}}}^{d}\), then we can also define a gene or feature …

PathPred: an enzyme-catalyzed metabolic pathway prediction server

Y Moriya, D Shigemizu, M Hattori… - Nucleic acids …, 2010 - academic.oup.com
The KEGG RPAIR database is a collection of biochemical structure transformation patterns,
called RDM patterns, and chemical structure alignments of substrate-product pairs (reactant …

Novel calmodulin mutations associated with congenital arrhythmia susceptibility

…, BM Beckmann, MS Roh, D Shigemizu… - Circulation …, 2014 - Am Heart Assoc
Background— Genetic predisposition to life-threatening cardiac arrhythmias such as congenital
long-QT syndrome (LQTS) and catecholaminergic polymorphic ventricular tachycardia (…

[HTML][HTML] Whole-genome mutational landscape of liver cancers displaying biliary phenotype reveals hepatitis impact and molecular diversity

…, S Ariizumi, H Hai Nguyen, D Shigemizu… - Nature …, 2015 - nature.com
Intrahepatic cholangiocarcinoma and combined hepatocellular cholangiocarcinoma show
varying degrees of biliary epithelial differentiation, which can be defined as liver cancer …

High-risk ovarian cancer based on 126-gene expression signature is uniquely characterized by downregulation of antigen presentation pathway

K Yoshihara, T Tsunoda, D Shigemizu, H Fujiwara… - Clinical cancer …, 2012 - AACR
Purpose: High-grade serous ovarian cancers are heterogeneous not only in terms of clinical
outcome but also at the molecular level. Our aim was to establish a novel risk classification …

[HTML][HTML] Whole-genome sequencing with long reads reveals complex structure and origin of structural variation in human genetic variations and somatic mutations in …

…, Y Yoshii, S Akiyama, A Tanaka, H Yagi, D Shigemizu… - Genome medicine, 2021 - Springer
d Comparison of HBV integrations between short-read study and this study. HBV
integrations identified by this study were compared with a previous short-read study [2] …

[HTML][HTML] Performance comparison of four commercial human whole-exome capture platforms

D Shigemizu, Y Momozawa, T Abe, T Morizono… - Scientific reports, 2015 - nature.com
… (d) Density plot shows the correlation between mean read depth across target regions and
… How to cite this article: Shigemizu, D. et al. Performance comparison of four commercial …

[HTML][HTML] Classification and deep-learning–based prediction of Alzheimer disease subtypes by using genomic data

D Shigemizu, S Akiyama, M Suganuma… - Translational …, 2023 - nature.com
Late-onset Alzheimer’s disease (LOAD) is the most common multifactorial neurodegenerative
disease among elderly people. LOAD is heterogeneous, and the symptoms vary among …

[HTML][HTML] Ethnic and trans-ethnic genome-wide association studies identify new loci influencing Japanese Alzheimer's disease risk

D Shigemizu, R Mitsumori, S Akiyama… - Translational …, 2021 - nature.com
Alzheimer’s disease (AD) has no cure, but early detection and risk prediction could allow
earlier intervention. Genetic risk factors may differ between ethnic populations. To discover …

[HTML][HTML] Prognosis prediction model for conversion from mild cognitive impairment to Alzheimer's disease created by integrative analysis of multi-omics data

D Shigemizu, S Akiyama, S Higaki, T Sugimoto… - Alzheimer's research & …, 2020 - Springer
… c, d Prediction models constructed using only clinical factors (without miR-eQTLs) in the
discovery cohort (c) and the validation cohort (d) … 2d). These results show that the detected miR-…