Recent trends in multi-block data analysis in chemometrics for multi-source data integration

Comparison of Individual and Integrated Inline Raman, Near-Infrared, and Mid-Infrared Spectroscopic Models to Predict the Viscosity of Micellar Liquids

(2020) Kiran Haroon et al.   APPLIED SPECTROSCOPY

Data preprocessing for multiblock modelling – A systematization with new methods

(2020) Maria P. Campos et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Sequential preprocessing through ORThogonalization (SPORT) and its application to near infrared spectroscopy

(2020) Jean-Michel Roger et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Information fusion of emerging non-destructive analytical techniques for food quality authentication: A survey

(2020) Lei Zhou et al.   TRAC-TRENDS IN ANALYTICAL CHEMISTRY

Parallel pre-processing through orthogonalization (PORTO) and its application to near-infrared spectroscopy

(2020) Puneet Mishra et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

MBA-GUI: A chemometric graphical user interface for multi-block data visualisation, regression, classification, variable selection and automated pre-processing

(2020) Puneet Mishra et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Visible-NIR ‘point’ spectroscopy in postharvest fruit and vegetable assessment: The science behind three decades of commercial use

(2020) Kerry B. Walsh et al.   POSTHARVEST BIOLOGY AND TECHNOLOGY

SPORT pre-processing can improve near-infrared quality prediction models for fresh fruits and agro-materials

(2020) Puneet Mishra et al.   POSTHARVEST BIOLOGY AND TECHNOLOGY

Sequential fusion of information from two portable spectrometers for improved prediction of moisture and soluble solids content in pear fruit

(2020) Puneet Mishra et al.   TALANTA

Joint and Unique Multiblock Analysis for Integration and Calibration Transfer of NIR Instruments

(2019) Tomas Skotare et al.   ANALYTICAL CHEMISTRY

Structural Learning and Integrative Decomposition of Multi-View Data

(2019) Irina Gaynanova et al.   BIOMETRICS

Fusion of Near-Infrared and Raman Spectroscopy for In-Line Measurement of Component Content of Molten Polymer Blends

(2019) Shichao Zhu et al.   SENSORS

Common and distinct variation in data fusion of designed experimental data

(2019) Masoumeh Alinaghi et al.   Metabolomics

Measurement of optical properties of fruits and vegetables: A review

(2019) Renfu Lu et al.   POSTHARVEST BIOLOGY AND TECHNOLOGY

ComDim: From multiblock data analysis to path modeling

(2018) Véronique Cariou et al.   FOOD QUALITY AND PREFERENCE

Chemometrics in analytical chemistry—part II: modeling, validation, and applications

(2018) Richard G. Brereton et al.   ANALYTICAL AND BIOANALYTICAL CHEMISTRY

Combining mid infrared spectroscopy and paper spray mass spectrometry in a data fusion model to predict the composition of coffee blends

(2018) Camila Assis et al.   FOOD CHEMISTRY

Advanced predictive methods for wine age prediction: Part II – A comparison study of multiblock regression approaches

(2017) Maria P. Campos et al.   TALANTA

Variable selection in multi-block regression

(2016) Alessandra Biancolillo et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Analysis of multiblock datasets using ComDim: Overview and extension to the analysis of (K+ 1) datasets

(2016) Angélina El Ghaziri et al.   JOURNAL OF CHEMOMETRICS

ROSA-a fast extension of partial least squares regression for multiblock data analysis

(2016) Kristian Hovde Liland et al.   JOURNAL OF CHEMOMETRICS

Combining SO-PLS and linear discriminant analysis for multi-block classification

(2015) Alessandra Biancolillo et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Data-fusion for multiplatform characterization of an italian craft beer aimed at its authentication

(2014) Alessandra Biancolillo et al.   ANALYTICA CHIMICA ACTA

Principal component analysis

(2014) Rasmus Bro et al.   Analytical Methods

Structure-revealing data fusion

(2014) Evrim Acar et al.   BMC BIOINFORMATICS

Joint and individual variation explained (JIVE) for integrated analysis of multiple data types

(2013) Eric F. Lock et al.   Annals of Applied Statistics

Multi-block regression based on combinations of orthogonalisation, PLS-regression and canonical correlation analysis

(2013) Tormod Næs et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Understanding data fusion within the framework of coupled matrix and tensor factorizations

(2013) Evrim Acar et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

A review of variable selection methods in Partial Least Squares Regression

(2012) Tahir Mehmood et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

DISCO-SCA and Properly Applied GSVD as Swinging Methods to Find Common and Distinctive Processes

(2012) Katrijn Van Deun et al.   PLoS One

Preference mapping by PO-PLS: Separating common and unique information in several data blocks

(2011) Ingrid Måge et al.   FOOD QUALITY AND PREFERENCE

Identification of significant factors by an extension of ANOVA–PCA based on multi-block analysis

(2010) D. Jouan-Rimbaud Bouveresse et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

CovSel: Variable selection for highly multivariate and multi-response calibration

(2010) J.M. Roger et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Connections between multiple co-inertia analysis and consensus principal component analysis

(2010) Mohamed Hanafi et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Multiblock variance partitioning: A new approach for comparing variation in multiple data blocks

(2008) Thomas Skov et al.   ANALYTICA CHIMICA ACTA