Journal ArticleDOI
PLS-regression: a basic tool of chemometrics
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TLDR
PLS-regression (PLSR) as mentioned in this paper is the PLS approach in its simplest, and in chemistry and technology, most used form (two-block predictive PLS) is a method for relating two data matrices, X and Y, by a linear multivariate model.About:
This article is published in Chemometrics and Intelligent Laboratory Systems.The article was published on 2001-10-28. It has received 7861 citations till now. The article focuses on the topics: Partial least squares regression.read more
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Statistical analysis of proteomics data: A review on feature selection.
Marta Lualdi,Mauro Fasano +1 more
TL;DR: In this review article many statistical approaches are described and compared for their application in the field of biomedical research, in order to suggest the reader the most suitable analysis pathway and to avoid mistakes.
Journal ArticleDOI
Lactate and glycine-potential MR biomarkers of prognosis in estrogen receptor-positive breast cancers.
Guro F. Giskeødegård,Steinar Lundgren,Beathe Sitter,Hans E. Fjøsne,Geert Postma,Lutgarde M. C. Buydens,Ingrid S. Gribbestad,Tone Frost Bathen +7 more
TL;DR: The results imply that the metabolic state of a tumor may provide additional information concerning breast cancer prognosis, and the role of MR metabolomics as an additional clinical tool for determining the prognosis of patients with breast cancer should be evaluated.
Journal ArticleDOI
Maternal serum metabolome and traffic-related air pollution exposure in pregnancy.
Qi Yan,Zeyan Liew,Karan Uppal,Xin Cui,Chenxiao Ling,Julia E. Heck,Ondine S. von Ehrenstein,Jun Wu,Douglas I. Walker,Dean P. Jones,Beate Ritz +10 more
TL;DR: The metabolomic features and pathways found to be associated with air pollution exposure suggest that maternal exposure during pregnancy induces oxidative stress and inflammation pathways previously implicated in pregnancy complications and adverse outcomes.
Journal ArticleDOI
Identifying major pesticides affecting bivalve species exposed to agricultural pollution using multi-biomarker and multivariate methods
Joana Damásio,Joana Damásio,Alícia Navarro-Ortega,Romà Tauler,Silvia Lacorte,Damià Barceló,Amadeu M.V.M. Soares,M. A. López,Mari Carmen Riva,Carlos Barata +9 more
TL;DR: Investigation using freshwater clams transplanted in the main drainage channels that collect the effluents coming from agriculture fields in the Ebro Delta during the main growing season of rice found endosulfan, propanil, and phenylureas as being the chemical contaminants causing the most adverse effects in the studied species.
Journal ArticleDOI
Determinants of energy consumption in Kenya: A NIPALS approach
TL;DR: In this paper, the authors examined the drivers of aggregate energy consumption, fossil fuel and electricity consumption in Kenya using the nonlinear iterative partial least squares (NIPALS) method and showed the importance of price, population density, urbanization and renewable energies from hydro sources in promoting energy demand reductions.
References
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Book
Regression Diagnostics: Identifying Influential Data and Sources of Collinearity
TL;DR: In this article, the authors present a method for detecting and assessing Collinearity of observations and outliers in the context of extensions to the Wikipedia corpus, based on the concept of Influential Observations.
Book
A User's Guide to Principal Components
TL;DR: In this paper, the authors present a directory of Symbols and Definitions for PCA, as well as some classic examples of PCA applications, such as: linear models, regression PCA of predictor variables, and analysis of variance PCA for Response Variables.
Journal ArticleDOI
A Leisurely Look at the Bootstrap, the Jackknife, and Cross-Validation
Bradley Efron,Gail Gong +1 more
TL;DR: This paper reviewed the nonparametric estimation of statistical error, mainly the bias and standard error of an estimator, or the error rate of a prediction rule, at a relaxed mathematical level, omitting most proofs, regularity conditions and technical details.