Rchr
J-GLOBAL ID：201901002680664429
Update date: Oct. 12, 2025
Kojima Kaname
コジマ カナメ | Kojima Kaname
Affiliation and department：
Job title：
Senior Assistant Professor
Research field (2)：
Systems genomics
, Biological, health, and medical informatics
Research theme for competitive and other funds (9)：
- 2025 - 2028 Deep learning based glomerular disease pathological assessment algorism
- 2023 - 2026 アレルギー疾患機序解明のためのHLA多型を考慮した解釈可能AIゲノム解析基盤構築
- 2022 - 2025 紫外線感受性核酸多型に基づく尋常性白斑発症予測プログラムの構築
- 2021 - 2024 網膜層厚と遺伝環境因子による孤発性晩期発症型アルツハイマー病前臨床期診断法の確立
- 2020 - 2023 Establishment of Time Series UV Skin Damage Prediction Methods Based on Deep Learning and Deep State Space Models
- 2017 - 2020 GWAS-based integrated analysis of PBC to dissect the mechanism of development and progression of primary biliary cholangitis
- 2017 - 2019 Exhaustive discovery of disease related variants by the construction of integrated analysis methods of microsatellites from genome data
- 2013 - 2015 Modeling of genes and epigenome intracellular regulatory network and analysis of cellular differentiation mechanisms
- 2008 - 2010 大規模遺伝子ネットワークに適した階層型グリッドレイアウトアルゴリズムの研究
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Papers (83)：
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Nonoka Suzuki, Kaname Kojima, Silvia Malvica, Kenshi Yamasaki, Yoichiro Chikamatsu, Yuji Oe, Tasuku Nagasawa, Ekyu Kondo, Satoru Sanada, Setsuya Aiba, et al. Deep learning-based histopathological assessment of tubulo-interstitial injury in chronic kidney diseases. Communications Medicine. 2025. 5. 3
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Kaname Kojima, Shu Tadaka, Yasunobu Okamura, Kengo Kinoshita. Two-stage strategy using denoising autoencoders for robust reference-free genotype imputation with missing input genotypes. Journal of Human Genetics. 2024. 69. 10. 511-518
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Shu Tadaka, Junko Kawashima, Eiji Hishinuma, Sakae Saito, Yasunobu Okamura, Akihito Otsuki, Kaname Kojima, Shohei Komaki, Yuichi Aoki, Takanari Kanno, et al. jMorp: Japanese Multi-Omics Reference Panel update report 2023. Nucleic acids research. 2023
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Yuta Yanagisawa, Kosuke Shido, Kaname Kojima, Kenshi Yamasaki. Convolutional neural network-based skin image segmentation model to improve classification of skin diseases in conventional and non-standardized picture images. Journal of Dermatological Science. 2023. 109. 1. 30-36
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Zhiqian Yu, Kazuko Ueno, Ryo Funayama, Mai Sakai, Naoki Nariai, Kaname Kojima, Yoshie Kikuchi, Xue Li, Chiaki Ono, Junpei Kanatani, et al. Sex-Specific Differences in the Transcriptome of the Human Dorsolateral Prefrontal Cortex in Schizophrenia. Molecular neurobiology. 2022
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MISC (14)：
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志藤光介, 志藤光介, 志藤光介, 小島要, 木下賢吾. 日本人約6万人の血清総IgE値のGWAS並びにMHC関連解析. アレルギー. 2024. 73. 6/7
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山田 充啓, 元池 育子, 小島 要, 光根 歩, 大江 崇, 一ノ瀬 正和, 山本 雅之, 杉浦 久敏. 日本人成人GWASによる肺機能・FeNO関連遺伝子の同定. 日本呼吸器学会誌. 2022. 11. 増刊. 129-129
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Yoshiki Tsunemoto, Takafumi Yamauchi, Daisuke Ochi, Satsuki Kumatani, Takahiro Mimori, Kaname Kojima, Riu Yamashita, Maiko Wagata, Fumiki Katsuoka, Osamu Tanabe, et al. GWAS and RNA Expression Analysis for Gestational Hypertension using Time-Series Home Blood Pressure Data in Maternity Log Study. REPRODUCTIVE SCIENCES. 2019. 26. 184A-184A
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Yumi Yamaguchi-Kabata, Jun Yasuda, Osamu Tanabe, Yoichi Suzuki, Hiroshi Kawame, Nobuo Fuse, Masao Nagasaki, Yosuke Kawai, Kaname Kojima, Fumiki Katsuoka, et al. Estimating frequency of pathogenic variants in a Japanese population by using the whole-genome reference panel of ToMMo. HUMAN GENOMICS. 2018. 12
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Shibuya Yusuke, Tokunaga Hideki, Saito Sakae, Kojima Kaname, Li Bin, Nagasaki Masao, Yasuda Jun, Yaegashi Nobuo. 卵巣明細胞がんを引き起こす遺伝子変異の発見(Discovery of gene alterations causing ovarian clear cell carcinoma). 日本婦人科腫瘍学会雑誌. 2017. 35. 3. 566-566
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Education (3)：
- - 2011 University of Tokyo The Graduate School of Information Science and Technology Department of Computer Science
- - 2008 University of Tokyo The Graduate School of Information Science and Technology Department of Computer Science
- - 2005 Tokyo Institute of Technology School of Engineering Department of Computer Science
Professional career (1)：
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