首页> Journal of translational medicine> Tissue of origin detection for cancer tumor using low-depth cfDNA samples through combination of tumor-specific methylation atlas and genome-wide methylation density in graph convolutional neural networks.

Tissue of origin detection for cancer tumor using low-depth cfDNA samples through combination of tumor-specific methylation atlas and genome-wide methylation density in graph convolutional neural networks.

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第一作者： Trong Hieu,Nguyen

第一单位： Medical Genetics Institute, Gene Solutions, Ho Chi Minh, Vietnam. hieunguyen@genesolutions.vn.

作者： Trong Hieu,Nguyen ^[1] ; Nhu Nhat Tan,Doan ^[2] ; Trung Hieu,Tran ^[2] ; Le Anh Khoa,Huynh ^[3] ; Phuoc Loc,Doan ^[2] ; Thi Hue Hanh,Nguyen ^[2] ; Van Thien Chi,Nguyen ^[2] ; Giang Thi Huong,Nguyen ^[2] ; Hoai-Nghia,Nguyen ^[2] ; Hoa,Giang ^[2] ; Le Son,Tran ^[2] ; Minh Duy,Phan ^[4]

作者单位： Medical Genetics Institute, Gene Solutions, Ho Chi Minh, Vietnam. hieunguyen@genesolutions.vn. ^[1] Medical Genetics Institute, Gene Solutions, Ho Chi Minh, Vietnam. ^[2] Medical Genetics Institute, Gene Solutions, Ho Chi Minh, Vietnam.;Department of Biostatistics, School of Medicine, Virginia Commonwealth University, Richmond, USA. ^[3] Medical Genetics Institute, Gene Solutions, Ho Chi Minh, Vietnam. pmduy@yahoo.com. ^[4]

关键词 Genome-wide methylation density Graph convolutional neural networks Tissue of origin Tumor-specific methylation atlas cfDNA

医学主题词人类(Humans);DNA甲基化(DNA Methylation);肿瘤(Neoplasms);基因组, 人(Genome, Human);器官特异性(Organ Specificity);算法(Algorithms)

DOI 10.1186/s12967-024-05416-z

PMID 38961476

发布时间 2024-07-06

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准确一般字义偏差语意偏离译文作用小提交