Development of a data-processing method based on Bayesian k-means clustering to discriminate aneugens and clastogens in a high-content micronucleus assay
文献类型：期刊论文
| 作者 | Li, N. ; Wang, Z. J.; Ma, M.; Huang, Y.; Liu, C. T.; Rao, K. F.; Huang, Z. H.
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| 刊名 | HUMAN & EXPERIMENTAL TOXICOLOGY
 |
| 出版日期 | 2018-03-01 |
| 卷号 | 37期号:3页码:285-294 |
| 关键词 | MN Bayesian k-means aneugen clastogen MoA |
| ISSN号 | 0960-3271 |
| 文献子类 | Article |
| 英文摘要 | Genotoxicants can be identified as aneugens and clastogens through a micronucleus (MN) assay. The current high-content screening-based MN assays usually discriminate an aneugen from a clastogen based on only one parameter, such as the MN size, intensity, or morphology, which yields low accuracies (70-84%) because each of these parameters may contribute to the results. Therefore, the development of an algorithm that can synthesize high-dimensionality data to attain comparative results is important. To improve the automation and accuracy of detection using the current parameter-based mode of action (MoA), the MN MoA signatures of 20 chemicals were systematically recruited in this study to develop an algorithm. The results of the algorithm showed very good agreement (93.58%) between the prediction and reality, indicating that the proposed algorithm is a validated analytical platform for the rapid and objective acquisition of genotoxic MoA messages. |
| 源URL | [http://ir.rcees.ac.cn/handle/311016/41127]  |
| 专题 | 生态环境研究中心_环境水质学国家重点实验室 |
| 推荐引用方式 GB/T 7714 | Li, N.,Wang, Z. J.,Ma, M.,et al. Development of a data-processing method based on Bayesian k-means clustering to discriminate aneugens and clastogens in a high-content micronucleus assay[J]. HUMAN & EXPERIMENTAL TOXICOLOGY,2018,37(3):285-294. |
| APA | Li, N..,Wang, Z. J..,Ma, M..,Huang, Y..,Liu, C. T..,...&Huang, Z. H..(2018).Development of a data-processing method based on Bayesian k-means clustering to discriminate aneugens and clastogens in a high-content micronucleus assay.HUMAN & EXPERIMENTAL TOXICOLOGY,37(3),285-294. |
| MLA | Li, N.,et al."Development of a data-processing method based on Bayesian k-means clustering to discriminate aneugens and clastogens in a high-content micronucleus assay".HUMAN & EXPERIMENTAL TOXICOLOGY 37.3(2018):285-294. |
入库方式： OAI收割
来源：生态环境研究中心
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