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

被引:0
|
作者
Max Bylesjö
Mattias Rantalainen
Jeremy K Nicholson
Elaine Holmes
Johan Trygg
机构
[1] Umeå University,Research Group for Chemometrics, Department of Chemistry
[2] Imperial College,Department of Biomolecular Medicine, Division of Surgery, Oncology, Reproductive Biology and Anaesthetics (SORA), Faculty of Medicine
来源
关键词
Generalisation Error; Structure Noise; Hybrid Aspen; Plot Function; Descriptor Matrix;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
相关论文
共 5 条
  • [1] K-OPLS package: Kernel-based orthogonal projections to latent structures for prediction and interpretation in feature space
    Bylesjo, Max
    Rantalainen, Mattias
    Nicholson, Jeremy K.
    Holmes, Elaine
    Trygg, Johan
    BMC BIOINFORMATICS, 2008, 9 (1)
  • [2] Kernel-based orthogonal projections to latent structures (K-OPLS)
    Rantalainen, Mattias
    Bylesjoe, Max
    Cloarec, Olivier
    Nicholson, Jeremy K.
    Holmes, Elaine
    Trygg, Johan
    JOURNAL OF CHEMOMETRICS, 2007, 21 (7-9) : 376 - 385
  • [3] ccKOPLS: Confounder-Correcting Kernel-based Orthogonal Projections to Latent Structures
    Moore, David E.
    Fluette, Kellan A.
    Milne, Heather J.
    Shedlock, Andrew M.
    Anderson, Paul E.
    PROCEEDINGS 2015 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE, 2015, : 897 - 903
  • [4] Discrimination of Adulterated Milk Based on Two-Dimensional Correlation Spectroscopy (2D-COS) Combined with Kernel Orthogonal Projection to Latent Structure (K-OPLS)
    Yang, Renjie
    Liu, Rong
    Xu, Kexin
    Yang, Yanrong
    APPLIED SPECTROSCOPY, 2013, 67 (12) : 1363 - 1367
  • [5] Non-linear modeling of 1H NMR metabonomic data using kernel-based orthogonal projections to latent structures optimized by simulated annealing
    Fonville, Judith M.
    Bylesjoe, Max
    Coen, Muireann
    Nicholson, Jeremy K.
    Holmes, Elaine
    Lindon, John C.
    Rantalainen, Mattias
    ANALYTICA CHIMICA ACTA, 2011, 705 (1-2) : 72 - 80