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Current computational methods for spatial transcriptomics in cancer biology.

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第一作者： Jaewoo,Mo

第一单位： School of Systems Biomedical Science, Soongsil University, Dongjak-Gu, Seoul, Republic of Korea.

作者： Jaewoo,Mo ^[1] ; Junseong,Bae ^[2] ; Jahanzeb,Saqib ^[1] ; Dohyun,Hwang ^[3] ; Yunjung,Jin ^[1] ; Beomsu,Park ^[1] ; Jeongbin,Park ^[4] ; Junil,Kim ^[5]

作者单位： School of Systems Biomedical Science, Soongsil University, Dongjak-Gu, Seoul, Republic of Korea. ^[1] Interdisciplinary Program of Genomic Data Science, Pusan National University, Yangsan, Republic of Korea; Graduate School of Medical AI, Pusan National University, Yangsan, Republic of Korea. ^[2] Department of Information Convergence Engineering, Pusan National University, Yangsan, Republic of Korea. ^[3] Interdisciplinary Program of Genomic Data Science, Pusan National University, Yangsan, Republic of Korea; Department of Information Convergence Engineering, Pusan National University, Yangsan, Republic of Korea; School of Biomedical Convergence Engineering, Pusan National University, Yangsan, Republic of Korea. Electronic address: jeongbin.park@pusan.ac.kr. ^[4] School of Systems Biomedical Science, Soongsil University, Dongjak-Gu, Seoul, Republic of Korea. Electronic address: junilkim@ssu.ac.kr. ^[5]

关键词 Cell segmentation Deconvolution Niche-gene analysis Spatial transcriptomics Tissue domain analysis Tumor microenvironment

医学主题词人类(Humans);肿瘤(Neoplasms);计算生物学(Computational Biology);基因表达谱(Gene Expression Profiling);肿瘤微环境(Tumor Microenvironment);动物(Animals)

DOI 10.1016/bs.acr.2024.06.006

PMID 39271268

发布时间 2024-09-13

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