| 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, T Tsunoda Scientific reports 9 (1), 11399, 2019 | 328 | 2019 |
| PathPred: an enzyme-catalyzed metabolic pathway prediction server Y Moriya, D Shigemizu, M Hattori, T Tokimatsu, M Kotera, S Goto, ... Nucleic acids research 38 (suppl_2), W138-W143, 2010 | 277 | 2010 |
| Whole-genome mutational landscape of liver cancers displaying biliary phenotype reveals hepatitis impact and molecular diversity A Fujimoto, M Furuta, Y Shiraishi, K Gotoh, Y Kawakami, K Arihiro, ... Nature communications 6 (1), 6120, 2015 | 212 | 2015 |
| Novel calmodulin mutations associated with congenital arrhythmia susceptibility N Makita, N Yagihara, L Crotti, CN Johnson, BM Beckmann, MS Roh, ... Circulation: Cardiovascular Genetics 7 (4), 466-474, 2014 | 209 | 2014 |
| 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, M Hatae, H Fujiwara, ... Clinical cancer research 18 (5), 1374-1385, 2012 | 174 | 2012 |
| Performance comparison of four commercial human whole-exome capture platforms D Shigemizu, Y Momozawa, T Abe, T Morizono, KA Boroevich, S Takata, ... Scientific reports 5 (1), 1-8, 2015 | 91 | 2015 |
| Using functional signatures to identify repositioned drugs for breast, myelogenous leukemia and prostate cancer D Shigemizu, Z Hu, JH Hung, CL Huang, Y Wang, C DeLisi PLoS computational biology 8 (2), e1002347, 2012 | 72 | 2012 |
| Network-based analysis and characterization of adverse drug–drug interactions M Takarabe, D Shigemizu, M Kotera, S Goto, M Kanehisa Journal of chemical information and modeling 51 (11), 2977-2985, 2011 | 70 | 2011 |
| Chromothripsis-like chromosomal rearrangements induced by ionizing radiation using proton microbeam irradiation system M Morishita, T Muramatsu, Y Suto, M Hirai, T Konishi, S Hayashi, ... Oncotarget 7 (9), 10182, 2016 | 63 | 2016 |
| A genome-wide association study identifies PLCL2 and AP3D1-DOT1L-SF3A2 as new susceptibility loci for myocardial infarction in Japanese M Hirokawa, H Morita, T Tajima, A Takahashi, K Ashikawa, F Miya, ... European Journal of Human Genetics 23 (3), 374-380, 2015 | 61 | 2015 |
| Identification of potential blood biomarkers for early diagnosis of Alzheimer’s disease through RNA sequencing analysis D Shigemizu, T Mori, S Akiyama, S Higaki, H Watanabe, T Sakurai, ... Alzheimer's research & therapy 12, 1-12, 2020 | 59 | 2020 |
| A practical method to detect SNVs and indels from whole genome and exome sequencing data D Shigemizu, A Fujimoto, S Akiyama, T Abe, K Nakano, KA Boroevich, ... Scientific reports 3 (1), 2161, 2013 | 58 | 2013 |
| Whole-genome sequencing with long reads reveals complex structure and origin of structural variation in human genetic variations and somatic mutations in cancer A Fujimoto, JH Wong, Y Yoshii, S Akiyama, A Tanaka, H Yagi, ... Genome medicine 13 (1), 65, 2021 | 53 | 2021 |
| IRX4 at 5p15 suppresses prostate cancer growth through the interaction with vitamin D receptor, conferring prostate cancer susceptibility H Ha Nguyen, R Takata, S Akamatsu, D Shigemizu, T Tsunoda, ... Human molecular genetics 21 (9), 2076-2085, 2012 | 53 | 2012 |
| Risk prediction models for dementia constructed by supervised principal component analysis using miRNA expression data D Shigemizu, S Akiyama, Y Asanomi, KA Boroevich, A Sharma, ... Communications biology 2 (1), 77, 2019 | 51 | 2019 |
| Assessing the clinical utility of a genetic risk score constructed using 49 susceptibility alleles for type 2 diabetes in a Japanese population M Imamura, D Shigemizu, T Tsunoda, M Iwata, H Maegawa, H Watada, ... The Journal of Clinical Endocrinology & Metabolism 98 (10), E1667-E1673, 2013 | 51 | 2013 |
| Ethnic and trans-ethnic genome-wide association studies identify new loci influencing Japanese Alzheimer’s disease risk D Shigemizu, R Mitsumori, S Akiyama, A Miyashita, T Morizono, S Higaki, ... Translational psychiatry 11 (1), 151, 2021 | 47 | 2021 |
| 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, T Sakurai, KA Boroevich, ... Alzheimer's research & therapy 12, 1-12, 2020 | 44 | 2020 |
| GlyStruct: glycation prediction using structural properties of amino acid residues HM Reddy, A Sharma, A Dehzangi, D Shigemizu, AA Chandra, ... BMC bioinformatics 19, 55-64, 2019 | 44 | 2019 |
| Exome analyses of long QT syndrome reveal candidate pathogenic mutations in calmodulin-interacting genes D Shigemizu, T Aiba, H Nakagawa, K Ozaki, F Miya, W Satake, T Toda, ... PLoS One 10 (7), e0130329, 2015 | 44 | 2015 |
