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A deep neural network approach to predicting clinical outcomes of neuroblastoma patients.

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第一作者： Léon-Charles,Tranchevent

第一单位： Proteome and Genome Research Unit, Department of Oncology, Luxembourg Institute of Health, 1A-B, rue Thomas Edison, Strassen, L-1445, Luxembourg.;Current affiliation: Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, 7, avenue des Hauts Fourneaux, Esch-sur-Alzette, L-4362, Luxembourg.

作者： Léon-Charles,Tranchevent ^[1] ; Francisco,Azuaje ^[2] ; Jagath C,Rajapakse ^[3]

作者单位： Proteome and Genome Research Unit, Department of Oncology, Luxembourg Institute of Health, 1A-B, rue Thomas Edison, Strassen, L-1445, Luxembourg.;Current affiliation: Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, 7, avenue des Hauts Fourneaux, Esch-sur-Alzette, L-4362, Luxembourg. ^[1] Proteome and Genome Research Unit, Department of Oncology, Luxembourg Institute of Health, 1A-B, rue Thomas Edison, Strassen, L-1445, Luxembourg.;Current affiliation: Data and Translational Sciences, UCB Celltech, 208 Bath Road, Slough, SL1 3WE, UK. ^[2] Bioinformatics Research Center, School of Computer Science and Engineering, Nanyang Technological University, 50, Nanyang Avenue, Singapore, 639798, Singapore. asjagath@ntu.edu.sg. ^[3]

关键词 Clinical outcome prediction Deep learning Deep neural network Disease prediction Graph topology Machine learning Network-based methods

医学主题词计算生物学(Computational Biology);基因表达谱(Gene Expression Profiling);人类(Humans);神经母细胞瘤(Neuroblastoma);预后(Prognosis)

DOI 10.1186/s12920-019-0628-y

PMID 31856829

发布时间 2024-07-23

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