MultiDA: Chemometric software for multivariate data analysis based on Matlab
文献类型：期刊论文
| 作者 | Yang, Qianxu; Zhang, Liangxiao; Wang, Longxing; Xiao, Hongbin |
| 刊名 | chemometrics and intelligent laboratory systems
 |
| 出版日期 | 2012-07-01 |
| 卷号 | 116页码:1-8 |
| 关键词 | Chemometrics software Matlab Multivariate analysis Metabolomics/metabonomics Multi-model comparison |
| 产权排序 | 1,1 |
| 通讯作者 | 肖红斌 |
| 英文摘要 | multivariate data analysis (multida), a user-friendly interface chemometric software, is developed for the routine metabolomics/metabonomics data analysis. there are mainly two advantages for multida. first, it could simultaneously provide multiply methods for data preprocessing and multivariate analysis. the main chemometric methods in multida contains k-means cluster analysis, k-medoid cluster analysis, hierarchical cluster analysis (hca), principal component analysis (pca), robust principal component analysis (ropca), non-linear pca (nlpca), non-linear iterative partial least squares (nipals), simpls, discriminate analysis (da). canonical discriminate analysis (cda), stepwise discriminate analysis (sda), uncorrelated linear discriminate analysis (ulda) and some data preprocessing methods, such as standardization, outlier detection, genetic algorithm for feature selection (gafs), orthogonal signal correction (osc), weight analysis (weight) etc. second, multi-model comparison could be conducted to obtain the best outcome. moreover, this software is available for free. (c) 2012 elsevier b.v. all rights reserved. |
| WOS标题词 | science & technology ; technology ; physical sciences |
| 学科主题 | 物理化学 |
| 类目[WOS] | automation & control systems ; chemistry, analytical ; computer science, artificial intelligence ; instruments & instrumentation ; mathematics, interdisciplinary applications ; statistics & probability |
| 研究领域[WOS] | automation & control systems ; chemistry ; computer science ; instruments & instrumentation ; mathematics |
| 关键词[WOS] | principal component analysis ; least-squares regression ; discriminant-analysis ; genetic algorithms ; calibration ; validation ; selection ; tool ; pls |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000306043900001 |
| 公开日期 | 2013-10-11 |
| 源URL | [http://159.226.238.44/handle/321008/118212]  |
| 专题 | 大连化学物理研究所_中国科学院大连化学物理研究所 |
| 作者单位 | Chinese Acad Sci, Dalian Inst Chem Phys, Key Lab Separat Sci Analyt Chem, Dalian 116023, Peoples R China |
| 推荐引用方式 GB/T 7714 | Yang, Qianxu,Zhang, Liangxiao,Wang, Longxing,et al. MultiDA: Chemometric software for multivariate data analysis based on Matlab[J]. chemometrics and intelligent laboratory systems,2012,116:1-8. |
| APA | Yang, Qianxu,Zhang, Liangxiao,Wang, Longxing,&Xiao, Hongbin.(2012).MultiDA: Chemometric software for multivariate data analysis based on Matlab.chemometrics and intelligent laboratory systems,116,1-8. |
| MLA | Yang, Qianxu,et al."MultiDA: Chemometric software for multivariate data analysis based on Matlab".chemometrics and intelligent laboratory systems 116(2012):1-8. |
入库方式： OAI收割
来源：大连化学物理研究所
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