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K-OPLS package: Kernel-based orthogonal projections to latent structures for prediction and interpretation in feature space

机译：K-OPLS软件包：对潜在结构的基于核的正交投影用于特征空间中的预测和解释

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摘要

BackgroundKernel-based classification and regression methods have been successfully applied to modelling a wide variety of biological data. The Kernel-based Orthogonal Projections to Latent Structures (K-OPLS) method offers unique properties facilitating separate modelling of predictive variation and structured noise in the feature space. While providing prediction results similar to other kernel-based methods, K-OPLS features enhanced interpretational capabilities; allowing detection of unanticipated systematic variation in the data such as instrumental drift, batch variability or unexpected biological variation.

机译：背景技术基于内核的分类和回归方法已成功应用于建模各种生物数据。基于核的潜在结构正交投影（K-OPLS）方法提供了独特的属性，有助于对特征空间中的预测变化和结构化噪声进行单独建模。在提供与其他基于核的方法相似的预测结果的同时，K-OPLS具有增强的解释能力；允许检测数据中意料之外的系统变化，例如仪器漂移，批次变化或意外的生物变化。

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期刊名称 BMC Bioinformatics
作者
Max Bylesjö; Mattias Rantalainen; Jeremy K Nicholson; Elaine Holmes; Johan Trygg;
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年(卷),期 2008(9),-1
年度 2008
页码 106
总页数 7
原文格式 PDF
正文语种
中图分类应用微生物学;生化遗传学;生化药理学;
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专利

1. K-OPLS package: Kernel-based orthogonal projections to latent structures for prediction and interpretation in feature space [J] . Max Bylesj?, Mattias Rantalainen, Jeremy K Nicholson, BMC Bioinformatics . 2008,第1期

机译：K-OPLS包：基于内核的正交投影到特征空间中预测和解释的潜在结构
2. Discrimination of Adulterated Milk Based on Two-Dimensional Correlation Spectroscopy (2D-COS) Combined with Kernel Orthogonal Projection to Latent Structure (K-OPLS) [J] . Renjie Yang, Rong Liu, Kexin Xu, Applied Spectroscopy: Society for Applied Spectroscopy . 2013,第12期

机译：基于二维相关光谱（2D-COS）结合核正交投影到潜伏结构（K-OPLS）的掺假牛奶
3. Non-linear modeling of ~1H NMR metabonomic data using kernel-based orthogonal projections to latent structures optimized by simulated annealing [J] . Judith M. Fonville, Max Bylesjo, Muireann Coen Analytica chimica acta . 2011,第1a2期

机译：使用基于核的正交投影对通过模拟退火优化的潜在结构进行〜1H NMR代谢组学数据的非线性建模
4. ccKOPLS: Confounder-correcting kernel-based orthogonal projections to latent structures [C] . Moore David E., Fluette Kellan A., Milne Heather J., IEEE International Conference on Bioinformatics and Biomedicine . 2015

机译：ccKOPLS：基于混杂器的对潜在结构的基于核的正交投影
5. Visual Exploration of High-Dimensional Spaces Through Identification, Summarization, and Interpretation of Two-Dimensional Projections. [D] . Liu, Shusen. 2017

机译：通过二维投影的识别，汇总和解释对高维空间进行视觉探索。
6. Orthogonal projection to latent structures and first derivative for manipulation of PLSR and SVR chemometric models' prediction: A case study [O] . Fatma F. Abdallah, Hany W. Darwish, Ibrahim A. Darwish, 2012

机译：潜在结构的正交投影和用于PLSR和SVR化学计量模型预测的一阶导数：一个案例研究
7. K-OPLS package: Kernel-based orthogonal projections to latent structures for prediction and interpretation in feature space [O] . Bylesjo M, Rantalainen M, Nicholson JK, 2014

机译：K-OpLs包：基于核的正交投影到潜在结构，用于特征空间中的预测和解释

K-OPLS package: Kernel-based orthogonal projections to latent structures for prediction and interpretation in feature space

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