國家衛生研究院 NHRI:Item 3990099045/9837
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    題名: Prediction of proinflammatory potentials of engine exhausts by integrating chemical and biological features
    作者: Wang, CC;Lin, YC;Lin, YC;Jhang, SR;Tung, CW
    貢獻者: National Institute of Environmental Health Sciences
    摘要: The increasing prevalence of immune-related diseases has raised concerns about immunotoxicity of engine exhausts. The evaluation of immunotoxicity associated with engine exhausts has relied on expensive and timeconsuming experiments. In this study, a computational method named CBM was developed for predicting proinflammatory potentials of engine exhausts using chemical and biological data which are routinely analyzed for toxicity evaluation. The CBM model, based on a principal component regression algorithm, performs well with high correlation coefficient values of 0.972 and 0.849 obtained from training and independent test sets, respectively. In contrast, chemical or biological features alone showed poor correlation with the toxicity. The model indicates the importance of the utilization of both chemical and biological features for developing an effective model. The proposed method could be further developed and applied to predict bioactivities of mixtures.
    日期: 2016-03
    關聯: Lecture Notes in Computer Science. 2016 Mar;9656:293-303.
    Link to: http://dx.doi.org/10.1007/978-3-319-31744-1_26
    Cited Times(WOS): https://www.webofscience.com/wos/woscc/full-record/WOS:000401938000026
    Cited Times(Scopus): http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84973917899
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