Results 71 to 80 of about 397,347 (283)

Robust continuum regression. [PDF]

Several applications of continuum regression (CR) to non-contaminated data have shown that a significant improvement in predictive power can be obtained compared to the three standard techniques which it encompasses (ordinary least squares (OLS ...
Croux, Christophe, Filzmoser, P, Serneels, S, Van Espen, P   +3 more
core   +3 more sources

Partial Least Squares Regression on Symmetric Positive-Definite Matrices

Revista Colombiana de Estadística, 2013
Recientemente ha habido un aumento en el interés de analizar diferentes tipos de datos variedad-valuados, dentro de los cuáles aparecen los datos de matrices simétricas definidas positivas.
RAÚL ALBERTO PÉREZ, GRACIELA GONZÁLEZ-FARIAS   +1 more
doaj  

Gene Function Prediction from Functional Association Networks Using Kernel Partial Least Squares Regression.

PLoS ONE, 2015
With the growing availability of large-scale biological datasets, automated methods of extracting functionally meaningful information from this data are becoming increasingly important.
Sonja Lehtinen, Jon Lees, Jürg Bähler, John Shawe-Taylor, Christine Orengo   +4 more
doaj   +1 more source

Mycobacterial cell division arrest and smooth‐to‐rough envelope transition using CRISPRi‐mediated genetic repression systems

FEBS Open Bio, EarlyView.
CRISPRI‐mediated gene silencing and phenotypic exploration in nontuberculous mycobacteria. In this Research Protocol, we describe approaches to control, monitor, and quantitatively assess CRISPRI‐mediated gene silencing in M. smegmatis and M. abscessus model organisms.
Vanessa Point, Wafaa Achache, Janïs Laudouze, Eliana Sepulveda Ramos, Mickaël Maziero, Céline Crauste, Stéphane Canaan, Pierre Santucci   +7 more
wiley   +1 more source

Implementing PLS for distance-based regression: computational issues [PDF]

, 2006
Distance-based regression allows for a neat implementation of the Partial Least Squares recurrence. In this paper we address practical issues arising when dealing with moderately large datasets (n ~ 10^4) such as those typical of automobile insurance ...
Boj, Eva, Claramunt, M. Merce, Fortiana, Josep, Grané, Aurea   +3 more
core   +1 more source

Classification of Hungarian medieval silver coins using x-ray fluorescent spectroscopy and multivariate data analysis [PDF]

, 2013
A set of silver coins from the collection of Déri Museum Debrecen (Hungary) was examined by X-ray fluorescent elemental analysis with the aim to assign the coins to different groups with the best possible precision based on the acquired chemical ...
Elek, János, Héberger, Károly, Rajkó, Róbert, Rácz, Anita   +3 more
core   +1 more source

Molecular dynamics simulations of positively selected codons in FcγRI reveal novel biochemical binding properties

FEBS Open Bio, EarlyView.
Evolutionary analysis across 32 placental mammals identified positive selection at residues H148 and W149 in the immune receptor FcγR1. Ancestral reconstruction combined with molecular dynamics simulations reveals how these mutations may influence receptor structure and dynamics, providing insight into the evolution of antibody recognition and immune ...
David A. Young, Omar Arias‐Gaguancela, Fiona Gibson, Morgan Grainger, Jodie Score, Amit Nathubhai, Mauricio Cafiero, Lee Richard Machado   +7 more
wiley   +1 more source

Partial Least Squares Regression

Citation: 'partial least squares regression' in the IUPAC Compendium of Chemical Terminology, 5th ed.; International Union of Pure and Applied Chemistry; 2025. Online version 5.0.0, 2025. 10.1351/goldbook.10155 • License: The IUPAC Gold Book is licensed under Creative Commons Attribution-ShareAlike CC BY-SA 4.0 International for individual terms ...
R. Dennis Cook, Liliana Forzani
openaire   +2 more sources

Significance Regression: A Statistical Approach to Biased Linear Regression and Partial Least Squares [PDF]

, 1993
This paper first examines the properties of biased regressors that proceed by restricting the search for the optimal regressor to a subspace. These properties suggest features such biased regression methods should incorporate.
Hjalmarsson, Hakan, Holcomb, Tyler R., Morari, Manfred   +2 more
core   +1 more source

Quaternion Kernel Partial Least Squares Regression Algorithms

Journal of the Franklin Institute
This work provides three quaternion kernel partial least squares (PLS) algorithms for linear and nonlinear regressions. Firstly, the problem of large ill-conditioned matrices is tackled and two specifically designed linear kernel algorithms are suggested.
José Domingo Jiménez-López, Rosa María Fernández-Alcalá, Jesús Navarro-Moreno, Juan Carlos Ruiz-Molina   +3 more
openaire   +2 more sources