About me

東一織 / Iori Azuma

肝機能障害における免疫応答の理解
- deconvolution法による免疫細胞比率の推定
- 肝臓のHE染色切片および血液塗抹標本を用いた画像解析
- 細胞間相互作用ネットワーク解析
臨床データ解析
- 薬効予測モデル（副作用、適応症、薬物間相互作用など）
- 有害事象報告システムを用いた疫学研究

Iori Azuma, Tadahaya Mizuno, Hiroyuki Kusuhara, “Extraction of diverse gene groups with individual relationship from gene co-expression networks”, arXiv, 2021
Iori Azuma, Tadahaya Mizuno, Hiroyuki Kusuhara, “NRBdMF: A Recommendation Algorithm for Predicting Drug Effects Considering Directionality”, J Chem Inf Model., 2023
Katsuhisa Morita, Tadahaya Mizuno, Iori Azuma, Yutaka Suzuki, Hiroyuki Kusuhara, “Rat Deconvolution as Knowledge Miner for Immune Cell Trafficking from Toxicogenomics Databases”, Toxicol Sci., 2023
Iori Azuma, Tadahaya Mizuno, Katsuhisa Morita, Yutaka Suzuki, Hiroyuki Kusuhara, “Investigation of the usefulness of liver-specific deconvolution method by establishing a liver benchmark dataset”, NAR Genom Bioinform., 2024
Iori Azuma, Tadahaya Mizuno, Hiroyuki Kusuhara, “GLDADec: marker-gene guided LDA modelling for bulk gene expression deconvolution”, Brief Bioinform., 2024 Press Release
Takumi Iwasaka, Tadahaya Mizuno, Katsuhisa Morita, Iori Azuma, Tomoka Nakagawa, Eri Nakashima, Hiroyuki Kusuhara, “Establishment of an easy-to-construct liver injury mouse model for longitudinal analysis by drinking-water administration of 4,4’-methylenedianiline”, bioRxiv, 2024

Iori Azuma, Tadahaya Mizuno, Hiroyuki Kusuhara, “Investigation of matrix factorization methods employed in drug repositioning”, GPEN2022, A22, University of Minnesota, 10/2022
Iori Azuma, Tadahaya Mizuno, Hiroyuki Kusuhara, “Marker gene-based deconvolution to reveal the immune response from drug-induced transcriptome”, GPEN2024, P30, University of Copenhagen, 7/2024

東一織, 水野忠快, 楠原洋之, “ドラッグリポジショニングに向けた行列分解機械学習推薦システムの層別化と性能評価”, 第37回日本薬剤学会, 2C-06, オンライン開催, 5/2022
東一織, 水野忠快, 楠原洋之, “A recommendation algorithm for predicting drug effects considering directionality”, CBI学会2022年大会, O1-6, タワーホール船堀, 10/2022
東一織, 水野忠快, 楠原洋之, “GLDADec: Guided LDA deconvolution enabled us to identify cell type proportions”, CBI学会2023年大会, O1-2, タワーホール船堀, 10/2023

東一織, 水野忠快, 楠原洋之, “Development of novel module detection method in gene co-expression network and its application to clinical data”, 第15回次世代を担う若手のための医療薬科学シンポジウム, P-20, オンライン開催, 10/2021
東一織, 水野忠快, 楠原洋之, “Comparison of gene co-expression inference methods based on biological validity and diversity”, CBI学会, P07-02, オンライン開催, 10/2021
東一織, 水野忠快, 楠原洋之, “Development of a novel algorithm for predicting drug effects considering directionality”, 第16回次世代を担う若手のための医療薬科学シンポジウム, P-22, 和歌山県立医科大学, 10/2022
東一織, 水野忠快, 森田勝久, 楠原洋之, “大規模毒性データベース利活用に向けたdeconvolution法の検討”, 第50回日本毒性学会学術年会, P1-097S, パシフィコ横浜, 6/2023
東一織, 水野忠快, 楠原洋之, “Development of a method for estimating cell proportions using semi supervised topic modeling”, 2023年日本バイオインフォマティクス学会年会・第12回生命医薬情報学連合大会, P-44, 柏の葉カンファレンスセンター, 7/2023

2022 WINGS-LST/SPRING-GX general meeting (“Development of a novel module detection method in a gene coexpression network and its application to clinical data”), 6/2022
日本薬物動態学会第37回年会学生・若手企業研究者シンポジウムオーガナイザー, 11/2022
2023 WINGS-LST/SPRING-GX general meeting (“Investigation of deconvolution methods for understanding tissue immune responses”), 6/2023
第10回　CBI若手の会講演会 (“GLDADec: Guided LDA deconvolution enabled us to identify cell type proportions”), 1/2024
第11回 CBI若手の会講演会座長, 3/2024
2024 WINGS-LST/SPRING-GX general meeting (“GLDADec: marker-gene guided LDA modeling for bulk gene expression deconvolution”), 7/2024