Kernel-based orthogonal projections to latent structures (K-OPLS)

Kernel-based orthogonal projections to latent structures (K-OPLS)

The orthogonal projections to latent structures (OPLS) method has been successfully applied in various chemical and biological systems for modeling and interpretation of linear relationships between a descriptor matrix and response matrix. A kernel-based reformulation of the original OPLS algorithm...

Full description

Bibliographic Details
Main Authors:	Rantalainen, M, Bylesjoe, M, Cloarec, O, Nicholson, J, Holmes, E, Trygg, J
Format:	Journal article
Language:	English
Published:	2007

Similar Items

K-OPLS package: Kernel-based orthogonal projections to latent structures for prediction and interpretation in feature space
by: Bylesjö, M, et al.
Published: (2008)

K-OPLS package: Kernel-based orthogonal projections to latent structures for prediction and interpretation in feature space
by: Holmes Elaine, et al.
Published: (2008-02-01)

OPLS discriminant analysis: combining the strengths of PLS-DA and SIMCA classification
by: Bylesjo, M, et al.
Published: (2006)

Non-linear modeling of 1H NMR metabonomic data using kernel-based orthogonal projections to latent structures optimized by simulated annealing
by: Fonville, J, et al.
Published: (2011)

Non-linear modeling of 1H NMR metabonomic data using kernel-based orthogonal projections to latent structures optimized by simulated annealing.
by: Fonville, J, et al.
Published: (2011)

Piecewise multivariate modelling of sequential metabolic profiling data
by: Rantalainen, M, et al.
Published: (2008)

Orthogonal projections to latent structures as a strategy for microarray data normalization
by: Moritz Thomas, et al.
Published: (2007-06-01)

Statistical total correlation spectroscopy: an exploratory approach for latent biomarker identification from metabolic 1H NMR data sets.
by: Cloarec, O, et al.
Published: (2005)

Piecewise multivariate modelling of sequential metabolic profiling data
by: Nicholson Jeremy K, et al.
Published: (2008-02-01)

Car-pooling: a pe ople-mover for Melbourne /
by: 458129 Richardson, A. J.

Statistical correlation and projection methods for improved information recovery from diffusion-edited NMR spectra of biological samples.
by: Smith, L, et al.
Published: (2007)

Marketing in OPL-Bibliotheken / Marketing in One Person Libraries
by: Köhrer-Weisser, Sabine
Published: (2011-12-01)

Statistically integrated metabonomic-proteomic studies on a human prostate cancer xenograft model in mice.
by: Rantalainen, M, et al.
Published: (2006)

Quality-Driven Kernel Projection to Latent Structure Model for Nonlinear Process Monitoring
by: Qingchao Jiang, et al.
Published: (2019-01-01)

OPL-I An Open Ended Programming System Within CTSS
by: Weizenbaum, Joseph
Published: (2023)

Early steps in Xenopus neural determination : cloning and analysis of opl
by: Kuo, John Shu-Shin, 1967-
Published: (2009)

The New OPL Sourcebook: A Guide for Solo and Small Libraries
by: Marybeth Gaudette
Published: (2006-09-01)

Super-Fast Drying of blind-holed oil palm lumber (OPL)
by: Lim, Jia Yuan
Published: (2018)

FPolymer: A Program for 3D Structure Generation and OPLS Topology of Polymers with High Molecular Mass
by: Fabricio Uliana, et al.
Published: (2022-04-01)

Effect of thickness on defects of air forced dried oil palm lumber (OPL)
by: Chang, Ying Ying
Published: (2018)

OPLS statistical model versus linear regression to assess sonographic predictors of stroke prognosis
by: Fathi Vajargah K, et al.
Published: (2012-08-01)

Hybrid autoencoder with orthogonal latent space for robust population structure inference
by: Meng Yuan, et al.
Published: (2023-02-01)

Identifying Possible Socio-Demographic Factors in Infant Mortality Rate Classification With Orthogonal Projections to Latent Structures Discriminant Analysis
by: Pratiwi Noviana, et al.
Published: (2024-01-01)

Orthogonal projection to latent structures and first derivative for manipulation of PLSR and SVR chemometric models' prediction: A case study.
by: Fatma F Abdallah, et al.
Published: (2019-01-01)

Multiblock variable influence on orthogonal projections (MB-VIOP) for enhanced interpretation of total, global, local and unique variations in OnPLS models
by: Beatriz Galindo-Prieto, et al.
Published: (2021-04-01)

CB-SEM latent interaction: unconstrained and orthogonalized approaches
by: Cheah, Jun Hwa, et al.
Published: (2020)

The effect of holes parameter on the properties of super-fast dried oil palm lumber (OPL)
by: Ramli, Farid
Published: (2019)

Targeted Metabolomics Combined with OPLS-DA to Elucidate Phenolic Differences in Eight Cashew Apples
by: Haijie Huang, et al.
Published: (2025-02-01)

APPLICATION OF PARAFAC AND OPLS-DA ANALYSES ON HPLC FINGERPRINTS FOR THE CHARACTERIZATION OF Hibiscus sabdariffaCALYXES
by: Freddy A. Bernal, et al.
Published: (2016-02-01)

The Ontology for Parasite Lifecycle (OPL): towards a consistent vocabulary of lifecycle stages in parasitic organisms
by: Parikh Priti P, et al.
Published: (2012-05-01)

On the properties of a single OPLS-UA model curcumin molecule in water, methanol and dimethyl sulfoxide. Molecular dynamics computer simulation results
by: T. Patsahan, et al.
Published: (2017-06-01)

Putnam-Fuglede theorem and the range-kernel orthogonality of derivations
by: B. P. Duggal
Published: (2001-01-01)

Range-Kernel Orthogonality and Elementary Operators: The Nonsmoothness Case
by: A. Bachir, et al.
Published: (2020-01-01)

Norm-Attainability and Range-Kernel Orthogonality of Elementary Operators
by: Bernard Okelo
Published: (2018-12-01)

Inferring latent task structure for Multitask Learning by Multiple Kernel Learning
by: Altun Yasemin, et al.
Published: (2010-10-01)

Chemical Fingerprint Analysis for Discovering Markers and Identifying Saussurea involucrata by HPLC Coupled with OPLS-DA
by: Qingdong Ma, et al.
Published: (2020-01-01)

Classification and characterization on sorghums based on HS-GC-IMS combined with OPLS-DA and GA-PLS
by: Mengjie Liu, et al.
Published: (2024-01-01)

Structural Equation Models of Latent Interactions: Clarification of Orthogonalizing and Double-Mean-Centering Strategies
by: Lin, G, et al.
Published: (2010)

Topologies, structures and parameter files for lipid simulations in GROMACS with the OPLS-aa force field: DPPC, POPC, DOPC, PEPC, and cholesterol
by: Waldemar Kulig, et al.
Published: (2015-12-01)

Analytic properties of statistical total correlation spectroscopy based information recovery in 1H NMR metabolic data sets.
by: Alves, A, et al.
Published: (2009)