Global variation in copy number in the human genome R Redon, S Ishikawa, KR Fitch, L Feuk, GH Perry, TD Andrews, H Fiegler, ... nature 444 (7118), 444-454, 2006 | 5461 | 2006 |
Pan-cancer analysis of whole genomes Nature 578 (7793), 82-93, 2020 | 1643 | 2020 |
Machine learning methods for histopathological image analysis D Komura, S Ishikawa Computational and structural biotechnology journal 16, 34-42, 2018 | 889 | 2018 |
From detection of individual metastases to classification of lymph node status at the patient level: the camelyon17 challenge P Bandi, O Geessink, Q Manson, M Van Dijk, M Balkenhol, M Hermsen, ... IEEE transactions on medical imaging 38 (2), 550-560, 2018 | 566 | 2018 |
Genome-wide detection of human copy number variations using high-density DNA oligonucleotide arrays D Komura, F Shen, S Ishikawa, KR Fitch, W Chen, J Zhang, G Liu, S Ihara, ... Genome research 16 (12), 1575-1584, 2006 | 270 | 2006 |
A wave of nascent transcription on activated human genes Y Wada, Y Ohta, M Xu, S Tsutsumi, T Minami, K Inoue, D Komura, ... Proceedings of the National Academy of Sciences 106 (43), 18357-18361, 2009 | 204 | 2009 |
A deep learning system accurately classifies primary and metastatic cancers using passenger mutation patterns W Jiao, G Atwal, P Polak, R Karlic, E Cuppen, A Danyi, J de Ridder, ... Nature communications 11 (1), 728, 2020 | 191 | 2020 |
Cancer LncRNA Census reveals evidence for deep functional conservation of long noncoding RNAs in tumorigenesis J Carlevaro-Fita, A Lanzós, L Feuerbach, C Hong, D Mas-Ponte, ... Communications biology 3 (1), 56, 2020 | 177 | 2020 |
Adaptive Immune Receptor Repertoire Community recommendations for sharing immune-repertoire sequencing data F Rubelt, CE Busse, SAC Bukhari, JP Bürckert, E Mariotti-Ferrandiz, ... Nature immunology 18 (12), 1274-1278, 2017 | 171 | 2017 |
Integrative pathway enrichment analysis of multivariate omics data M Paczkowska, J Barenboim, N Sintupisut, NS Fox, H Zhu, D Abd-Rabbo, ... Nature communications 11 (1), 735, 2020 | 154 | 2020 |
Machine learning approaches for pathologic diagnosis D Komura, S Ishikawa Virchows Archiv 475, 131-138, 2019 | 132 | 2019 |
Divergent mutational processes distinguish hypoxic and normoxic tumours V Bhandari, CH Li, RG Bristow, PC Boutros Nature communications 11 (1), 737, 2020 | 112 | 2020 |
Genomic footprints of activated telomere maintenance mechanisms in cancer L Sieverling, C Hong, SD Koser, P Ginsbach, K Kleinheinz, B Hutter, ... Nature communications 11 (1), 733, 2020 | 106 | 2020 |
Pathway and network analysis of more than 2500 whole cancer genomes MA Reyna, D Haan, M Paczkowska, LPC Verbeke, M Vazquez, ... Nature communications 11 (1), 729, 2020 | 102 | 2020 |
Loss of YAP1 defines neuroendocrine differentiation of lung tumors T Ito, D Matsubara, I Tanaka, K Makiya, Z Tanei, Y Kumagai, SJ Shiu, ... Cancer science 107 (10), 1527-1538, 2016 | 102 | 2016 |
The niche component periostin is produced by cancer-associated fibroblasts, supporting growth of gastric cancer through ERK activation Y Kikuchi, A Kunita, C Iwata, D Komura, T Nishiyama, K Shimazu, ... The American journal of pathology 184 (3), 859-870, 2014 | 99 | 2014 |
Helicobacter pylori CagA elicits BRCAness to induce genome instability that may underlie bacterial gastric carcinogenesis S Imai, T Ooki, N Murata-Kamiya, D Komura, K Tahmina, W Wu, ... Cell Host & Microbe 29 (6), 941-958. e10, 2021 | 93 | 2021 |
Allelic dosage analysis with genotyping microarrays S Ishikawa, D Komura, S Tsuji, K Nishimura, S Yamamoto, B Panda, ... Biochemical and biophysical research communications 333 (4), 1309-1314, 2005 | 91 | 2005 |
Active metric learning device, active metric learning method, and program M Momma, S Morinaga, N Matsumura, D Komura US Patent App. 12/918,832, 2011 | 73 | 2011 |
Multidimensional support vector machines for visualization of gene expression data D Komura, H Nakamura, S Tsutsumi, H Aburatani, S Ihara Proceedings of the 2004 ACM symposium on Applied computing, 175-179, 2004 | 69 | 2004 |