Daisuke Komura
Daisuke Komura
Verified email at m.u-tokyo.ac.jp
Cited by
Cited by
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
Machine learning methods for histopathological image analysis
D Komura, S Ishikawa
Computational and structural biotechnology journal 16, 34-42, 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
Pan-cancer analysis of whole genomes
I The, TPCA of Whole, Genomes Consortium
Nature 578 (7793), 82, 2020
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
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
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
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
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
Multidimensional support vector machines for visualization of gene expression data
D Komura, H Nakamura, S Tsutsumi, H Aburatani, S Ihara
Bioinformatics 21 (4), 439-444, 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
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
High-density oligonucleotide array with sub-kilobase resolution reveals breakpoint information of submicroscopic deletions in nevoid basal cell carcinoma syndrome
K Fujii, S Ishikawa, H Uchikawa, D Komura, MH Shapero, F Shen, J Hung, ...
Human genetics 122 (5), 459-466, 2007
Stable knockdown of S100A4 suppresses cell migration and metastasis of osteosarcoma
M Fujiwara, TG Kashima, A Kunita, I Kii, D Komura, AE Grigoriadis, ...
Tumor Biology 32 (3), 611-622, 2011
Transplantation of alveolar type II cells stimulates lung regeneration during compensatory lung growth in adult rats
H Wada, S Yoshida, H Suzuki, Y Sakairi, T Mizobuchi, D Komura, Y Sato, ...
The Journal of thoracic and cardiovascular surgery 143 (3), 711-719. e2, 2012
Immunogenetic profiling for gastric cancers identifies sulfated glycosaminoglycans as major and functional B cell antigens in human malignancies
H Katoh, D Komura, H Konishi, R Suzuki, A Yamamoto, M Kakiuchi, ...
Cell reports 20 (5), 1073-1087, 2017
Machine learning approaches for pathologic diagnosis
D Komura, S Ishikawa
Virchows Archiv 475 (2), 131-138, 2019
Noise reduction from genotyping microarrays using probe level information
D Komura, K Nishimura, S Ishikawa, B Panda, J Huang, H Nakamura, ...
In silico biology 6 (1, 2), 79-92, 2006
Active metric learning device, active metric learning method, and active metric learning program
M Momma, S Morinaga, D Komura
US Patent 8,650,138, 2014
A benchmark for comparing precision medicine methods in thyroid cancer diagnosis using tissue microarrays
CW Wang, YC Lee, E Calista, F Zhou, H Zhu, R Suzuki, D Komura, ...
Bioinformatics 34 (10), 1767-1773, 2018
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