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Knowledge boosting: a graph-based integration approach with multi-omics data and genomic knowledge for cancer clinical outcome prediction

机译：知识促进：一种基于图形的集成方法，具有多OMICS数据和癌症临床结果预测的基因组知识

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Dokyoon Kim; Je-Gun Joung; Kyung-Ah Sohn; Hyunjung Shin; Yu Rang Park; Marylyn D Ritchie; Ju Han Kim;
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年度 2014
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1. Knowledge boosting: a graph-based integration approach with multi-omics data and genomic knowledge for cancer clinical outcome prediction [J] . Kim Dokyoon, Joung Je-Gun, Sohn Kyung-Ah, Journal of the American Medical Informatics Association : . 2015,第1期

机译：知识增强：基于图的整合方法，结合多组学数据和基因组知识，可预测癌症临床结果
2. Accurate cancer phenotype prediction with AKLIMATE, a stacked kernel learner integrating multimodal genomic data and pathway knowledge [J] . Vladislav Uzunangelov¤, Christopher K. Wong, Joshua M. Stuart PLoS Computational Biology . 2021,第4期

机译：准确的癌症表型预测Aklimate，一个堆叠的内核学习者集成了多模式基因组数据和途径知识
3. Free the Data: One laboratory's approach to knowledge-based genomic variant classification and preparation for EMR integration of genomic data [J] . BeanL.J.H., TinkerS.W., daSilvaC., Human mutation . 2013,第9期

机译：释放数据：一个实验室基于知识的基因组变体分类和EMR整合基因组数据准备的方法
4. An investigation of clinical outcome prediction from integrative genomic profiles in ovarian cancer [C] . Zhang Lin, Liu Hui, Hsiao Tzu-Hung, 2012 IEEE International Workshop on Genomic Signal Processing and Statistics . 2012

机译：综合卵巢癌基因组学资料预测临床结局的研究
5. Integrative modelling of clinical, genomic, and microenvironmental factors for improved prediction of patient outcome in localized prostate cancer [D] . Lalonde, Emilie 2016

机译：临床，基因组和微环境因素的集成模型可改善对局部前列腺癌患者预后的预测
6. Knowledge boosting: a graph-based integration approach with multi-omics data and genomic knowledge for cancer clinical outcome prediction [O] . Dokyoon Kim, Je-Gun Joung, Kyung-Ah Sohn, 2015

机译：知识增强：基于图的整合方法结合多组学数据和基因组知识可预测癌症临床结果
7. Using knowledge-driven genomic interactions for multi-omics data analysis: metadimensional models for predicting clinical outcomes in ovarian carcinoma [O] . Dokyoon Kim, Ruowang Li, Anastasia Lucas, 2016

机译：利用多OMICS数据分析的知识驱动基因组相互作用：用于预测卵巢癌中临床结果的培养模型
8. Integrating Medical Knowledge and Clinical Data Banks: Discovery and Representation of Causal Relationships from a Large Time-Oriented Clinical Database: The RX Project [R] . Wiederhold, G. C. , Blum, R. L. 1981

机译：整合医学知识和临床数据库：从大型时间导向的临床数据库中发现和表示因果关系：RX项目

Knowledge boosting: a graph-based integration approach with multi-omics data and genomic knowledge for cancer clinical outcome prediction

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