Results 71 to 80 of about 3,984,806 (250)

Total Least Squares Methods

, 2010
Recent advances in total least squares approaches for solving various errors-in-variables modeling problems are reviewed, with emphasis on the following generalizations: 1.
Markovsky, Ivan, Sima, Diana M., Van Huffel, Sabine   +2 more
core   +1 more source

Robust Nonlinear Partial Least Squares Regression Using the BACON Algorithm

Journal of Applied Mathematics, 2018
Partial least squares regression (PLS regression) is used as an alternative for ordinary least squares regression in the presence of multicollinearity. This occurrence is common in chemical engineering problems.
Abdelmounaim Kerkri, Jelloul Allal, Zoubir Zarrouk   +2 more
doaj   +1 more source

Structural studies and functional engineering of NanX: an anhydro‐sialic acid transporter from Escherichia coli

FEBS Open Bio, EarlyView.
Biophysical characterisation shows that NanX, a membrane transport protein from the major facilitator superfamily (MFS), forms both monomers and dimers after purification. AlphaFold modelling and substrate docking provide information on residues likely involved in substrate recognition for NanX and another MFS member, NanT.
Michael C. Newton‐Vesty, Kelsi R. Hall, Zachary D. Tillett, Liam S. Turk, James S. Davies, Michael J. Currie, Hamish G. Brown, Sepideh Valimehr, Peter D. Mace, Andrew E. Whitten, Santosh Panjikar, Eric Hanssen, Rachel A. North, Renwick C.J. Dobson   +13 more
wiley   +1 more source

A comparative study of principal component regression and partial least squares regression with application to FTIR diabetes data

, 2011
In recent years, Fourier Transform Infrared (FT-IR) spectroscopy has had an increasingly important role in the field of pathology and diagnosis of disease states.
Gunasekaran, S, Venkatesan, P, Dharuman, C   +2 more
core   +1 more source

Partial least squares for classification: a new point of view [PDF]

, 2022
Nowadays data are everywhere and it becomes increasingly important to collect and analyze them in the correct way in order to obtain useful information, since a broad number of fields on a scientific and industrial level need data analysis to solve a ...
De Nardi, Martino
core  

The element-wise weighted total least squares problem

, 2006
A new technique for parameter estimation is considered in a linear measurement error model AX approx B, A = A0 + tilde A, B = B0 + tilde B, with row-wise independent and non-identically distributed measurement errors tilde A, tilde B.
Premoli, P., Van Huffel, S., Markovsky, I., Rastello, M.   +3 more
core   +1 more source

High-performance numerical algorithms and software for structured total least squares [PDF]

, 2005
We present a software package for structured total least squares approximation problems. The allowed structures in the data matrix are block-Toeplitz, block-Hankel, unstructured, and exact.
Van Huffel, S., Markovsky, Ivan, Markovsky, I., Van Huffel, Sabine   +3 more
core   +2 more sources

Heterotropic regulation and negative homotropic cooperativity

FEBS Open Bio, EarlyView.
We identified a structural module common to some proteins that couple negative cooperativity with heterotropic regulation, two features that rarely coexist. These proteins are ring‐like and present an ordered asymmetry whereby noncontacting subunits are symmetric, and their tertiary structure differs from that of contacting subunits.
Veronica Morea, Francesco Angelucci, Federica Arnesano, Gianmarco Pascarella, Patrizio Di Micco, Andrea Bellelli   +5 more
wiley   +1 more source

Finite mixture partial least squares analysis: Methodology and numerical examples

, 2010
In wide range of applications for empirical data analysis, the assumption that data is collected from a single homogeneous population is often unrealistic.
Will, A, Ringle, C, Wende, S
core   +1 more source

GelMA‐based 3D spheroids recapitulate transcriptomic and functional hallmarks of myeloid sarcoma

FEBS Open Bio, EarlyView.
GelMA 5% hydrogels support the formation of myeloid leukemia spheroids that recapitulate MS‐specific features, including G1 arrest, apoptosis, and ECM‐driven transcriptomic reprogramming. The 3D model mimicked soft‐tissue‐like stiffness and oxygen conditions, and transcriptomic convergence with primary MS samples confirmed its utility as a preclinical ...
Nicolas Germain, Elise Buret, Le Hoang Thanh Nguyen, Marion Cocheteux, Nicolas Touya, Mélanie Dhayer, Romain Dubois, Frank Lafont, Sebastien Janel, Patrice Maboudou, Steve Lancel, Philippe Marchetti   +11 more
wiley   +1 more source