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A review of variable selection methods in partial least squares regression
With the increasing ease of measuring multiple variables per object the importance of
variable selection for data reduction and for improved interpretability is gaining importance …
variable selection for data reduction and for improved interpretability is gaining importance …
Multivariate methods in metabolomics–from pre-processing to dimension reduction and statistical analysis
This article presents some of the multivariate methods used in metabolomics, and addresses
many of the data types and associated analyses of current instrumentation and applications …
many of the data types and associated analyses of current instrumentation and applications …
Sparse discriminant analysis
We consider the problem of performing interpretable classification in the high-dimensional
setting, in which the number of features is very large and the number of observations is …
setting, in which the number of features is very large and the number of observations is …
[HTML][HTML] Impact of meteorological drivers on regional inter-annual crop yield variability in France
The impact of intra-seasonal climate variability on inter-annual variation in winter wheat and
grain maize yields over 92 French administrative regions is assessed. Observed monthly …
grain maize yields over 92 French administrative regions is assessed. Observed monthly …
[كتاب][B] Bayesian designs for phase I-II clinical trials
Y Yuan, HQ Nguyen, PF Thall - 2016 - api.taylorfrancis.com
Bayesian Designs for Phase I–II Clinical Trials Page 1 Page 2 Ying Yuan The University of
Texas MD Anderson Cancer Center Houston, Texas, USA Hoang Q. Nguyen The University of …
Texas MD Anderson Cancer Center Houston, Texas, USA Hoang Q. Nguyen The University of …
Multivariate analysis of multiple datasets: a practical guide for chemical ecology
Chemical ecology has strong links with metabolomics, the large-scale study of all
metabolites detectable in a biological sample. Consequently, chemical ecologists are often …
metabolites detectable in a biological sample. Consequently, chemical ecologists are often …
The diversity in the applications of partial least squares: an overview
Advances in technology make it happen to have massive amount of information in the form
of multiple variables per object. The use of multivariate approaches for modeling the real‐life …
of multiple variables per object. The use of multivariate approaches for modeling the real‐life …
Temporal variation selects for diet–microbe co-metabolic traits in the gut of Gorilla spp
Although the critical role that our gastrointestinal microbes play in host physiology is now
well established, we know little about the factors that influenced the evolution of primate gut …
well established, we know little about the factors that influenced the evolution of primate gut …
[كتاب][B] Multivariate data integration using R: methods and applications with the mixOmics package
KA Lê Cao, ZM Welham - 2021 - taylorfrancis.com
Large biological data, which are often noisy and high-dimensional, have become
increasingly prevalent in biology and medicine. There is a real need for good training in …
increasingly prevalent in biology and medicine. There is a real need for good training in …
Long‐term experimental drought alters floral scent and pollinator visits in a Mediterranean plant community despite overall limited impacts on plant phenotype and …
Pollinators are declining globally, with climate change implicated as an important driver.
Climate change can induce phenological shifts and reduce floral resources for pollinators …
Climate change can induce phenological shifts and reduce floral resources for pollinators …