Partial Least Squares: A Versatile Tool for the Analysis of High-Dimensional Genomic Data [PDF]
, 2005 Partial Least Squares (PLS) is a highly efficient statistical regression technique that is well suited for the analysis of high-dimensional genomic data.
Boulesteix, Anne-Laure +1 more
core +2 more sources
Application of multivariate regression methods to predict sensory quality of red wines
Czech Journal of Food Sciences, 2015 Several multivariate methods including partial least squares (PLS) regression, principal component regression (PCR) or multiple linear regression (MLR) have been applied to predict wine quality, based on the definition of chemical and phenolic parameters
José Luis ALEIXANDRE-TUDÓ +4 more
doaj +1 more source
High Dimensional Classification with combined Adaptive Sparse PLS and Logistic Regression [PDF]
, 2017 Motivation: The high dimensionality of genomic data calls for the development of specific classification methodologies, especially to prevent over-optimistic predictions. This challenge can be tackled by compression and variable selection, which combined
Durif, G. +5 more
core +4 more sources
A novel approach to modeling environmentally sustainable mortars incorporating pozzolanic additives and recycled aggregate through PLS regression [PDF]
TehnikaThis paper presents the application of Partial Least Squares (PLS) regression for optimizing mortar compositions with the aim of achieving a balance between mechanical performance and environmental impact.
Mijatović Nevenka N. +4 more
doaj +1 more source
Near infrared spectroscopy for deoxynivalenol content estimation in intact wheat grain
Plant, Soil and Environment, 2012 Non-invasive determination of deoxynivalenol (DON) still presents a challenging problem. Therefore, the present study was aimed at a rapid determination of DON in whole wheat grain by means of FT-NIR spectroscopy, with a wide range of concentrations for ...
V. Dvořáček +3 more
doaj +1 more source
Determining the number of components in PLS regression on incomplete data set [PDF]
Statistical Applications in Genetics and Molecular Biology, 2018 Partial least squares regression – or PLS regression – is a multivariate method in which the model parameters are estimated using either the SIMPLS or NIPALS algorithm.
T. Nengsih +3 more
semanticscholar +1 more source
Fluorescence spectroscopy for monitoring rapeseed oil upon heating
Czech Journal of Food Sciences, 2004 The aim of this work was to determine the heating effect on the thermo-degradation process of rapeseed oil (RO) by rapid fluorescence method. Reference measurements were carried out by chromatographic methods in order to compare results with those ...
P. A. Mas +2 more
doaj +1 more source
Automatic depression scale prediction using facial expression dynamics and regression [PDF]
, 2014 Depression is a state of low mood and aversion to activity that can affect a person's thoughts, behaviour, feelings and sense of well-being. In such a low mood, both the facial expression and voice appear different from the ones in normal states. In this
Asim Jan +5 more
core +1 more source
Journal of Chemometrics, 2020 This paper is about the use of the multiblock regression method sequential and orthogonalized partial least squares (SO‐PLS) for path modeling. The paper is a follow up of previously published papers on the same topic and presents a number of new results
T. Næs +5 more
semanticscholar +1 more source
Modeling microRNA-mRNA Interactions Using PLS Regression in Human Colon Cancer
BMC Medical Genomics, 2011 Background Changes in microRNA (miRNA) expression patterns have been extensively characterized in several cancers, including human colon cancer. However, how these miRNAs and their putative mRNA targets contribute to the etiology of cancer is poorly ...
Li Xiaohong +4 more
doaj +1 more source