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...

Bibliografski detalji
Glavni autori:	Rantalainen, M, Bylesjoe, M, Cloarec, O, Nicholson, J, Holmes, E, Trygg, J
Format:	Journal article
Jezik:	English
Izdano:	2007

Slični predmeti

K-OPLS package: Kernel-based orthogonal projections to latent structures for prediction and interpretation in feature space
od: Bylesjö, M, i dr.
Izdano: (2008)

K-OPLS package: Kernel-based orthogonal projections to latent structures for prediction and interpretation in feature space
od: Holmes Elaine, i dr.
Izdano: (2008-02-01)

OPLS discriminant analysis: combining the strengths of PLS-DA and SIMCA classification
od: Bylesjo, M, i dr.
Izdano: (2006)

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

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

Piecewise multivariate modelling of sequential metabolic profiling data
od: Rantalainen, M, i dr.
Izdano: (2008)

Orthogonal projections to latent structures as a strategy for microarray data normalization
od: Moritz Thomas, i dr.
Izdano: (2007-06-01)

Statistical total correlation spectroscopy: an exploratory approach for latent biomarker identification from metabolic 1H NMR data sets.
od: Cloarec, O, i dr.
Izdano: (2005)

Piecewise multivariate modelling of sequential metabolic profiling data
od: Nicholson Jeremy K, i dr.
Izdano: (2008-02-01)

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

Statistical correlation and projection methods for improved information recovery from diffusion-edited NMR spectra of biological samples.
od: Smith, L, i dr.
Izdano: (2007)

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

Statistically integrated metabonomic-proteomic studies on a human prostate cancer xenograft model in mice.
od: Rantalainen, M, i dr.
Izdano: (2006)

Quality-Driven Kernel Projection to Latent Structure Model for Nonlinear Process Monitoring
od: Qingchao Jiang, i dr.
Izdano: (2019-01-01)

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

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

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

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

FPolymer: A Program for 3D Structure Generation and OPLS Topology of Polymers with High Molecular Mass
od: Fabricio Uliana, i dr.
Izdano: (2022-04-01)

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

OPLS statistical model versus linear regression to assess sonographic predictors of stroke prognosis
od: Fathi Vajargah K, i dr.
Izdano: (2012-08-01)

Hybrid autoencoder with orthogonal latent space for robust population structure inference
od: Meng Yuan, i dr.
Izdano: (2023-02-01)

Identifying Possible Socio-Demographic Factors in Infant Mortality Rate Classification With Orthogonal Projections to Latent Structures Discriminant Analysis
od: Pratiwi Noviana, i dr.
Izdano: (2024-01-01)

Orthogonal projection to latent structures and first derivative for manipulation of PLSR and SVR chemometric models' prediction: A case study.
od: Fatma F Abdallah, i dr.
Izdano: (2019-01-01)

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

CB-SEM latent interaction: unconstrained and orthogonalized approaches
od: Cheah, Jun Hwa, i dr.
Izdano: (2020)

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

Targeted Metabolomics Combined with OPLS-DA to Elucidate Phenolic Differences in Eight Cashew Apples
od: Haijie Huang, i dr.
Izdano: (2025-02-01)

APPLICATION OF PARAFAC AND OPLS-DA ANALYSES ON HPLC FINGERPRINTS FOR THE CHARACTERIZATION OF Hibiscus sabdariffaCALYXES
od: Freddy A. Bernal, i dr.
Izdano: (2016-02-01)

The Ontology for Parasite Lifecycle (OPL): towards a consistent vocabulary of lifecycle stages in parasitic organisms
od: Parikh Priti P, i dr.
Izdano: (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
od: T. Patsahan, i dr.
Izdano: (2017-06-01)

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

Range-Kernel Orthogonality and Elementary Operators: The Nonsmoothness Case
od: A. Bachir, i dr.
Izdano: (2020-01-01)

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

Inferring latent task structure for Multitask Learning by Multiple Kernel Learning
od: Altun Yasemin, i dr.
Izdano: (2010-10-01)

Chemical Fingerprint Analysis for Discovering Markers and Identifying Saussurea involucrata by HPLC Coupled with OPLS-DA
od: Qingdong Ma, i dr.
Izdano: (2020-01-01)

Classification and characterization on sorghums based on HS-GC-IMS combined with OPLS-DA and GA-PLS
od: Mengjie Liu, i dr.
Izdano: (2024-01-01)

Structural Equation Models of Latent Interactions: Clarification of Orthogonalizing and Double-Mean-Centering Strategies
od: Lin, G, i dr.
Izdano: (2010)

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

Analytic properties of statistical total correlation spectroscopy based information recovery in 1H NMR metabolic data sets.
od: Alves, A, i dr.
Izdano: (2009)