Results 51 to 60 of about 181,998 (262)

The Use of Partial Least Squares Method To Remove Multicollinearity [PDF]

open access: yesالمجلة العراقية للعلوم الاحصائية, 2010
In this research the estimation of the regression parameters was clarified using least squares and partial least squares compared with the normal method in terms of its ability to be free from the problem of Multicollinearity between the predictive ...
doaj   +1 more source

Downscaling GRACE total water storage change using partial least squares regression

open access: yesScientific Data, 2021
Measurement(s) Gravity Technology Type(s) gravity field theory • computational modeling technique Factor Type(s) geographic location • temporal interval Sample Characteristic - Environment water body Sample Characteristic - Location global Machine ...
Bramha Dutt Vishwakarma   +2 more
doaj   +1 more source

In vitro and in silico modelling of ROS1‐positive non‐small cell lung cancer reveals fusion‐dependent tyrosine kinase inhibitor responses

open access: yesMolecular Oncology, EarlyView.
Drug resistance limits treatment success in a subset of lung cancers driven by ROS1 gene alterations. Using patient‐derived cells and computer simulations, we studied three key mutations and how they affect five targeted drugs. The mutations reduced drug effectiveness in different ways by altering protein structure and behavior.
Farhan Ul Haq   +8 more
wiley   +1 more source

A Partial Least Squares based algorithm for parsimonious variable selection

open access: yesAlgorithms for Molecular Biology, 2011
Background In genomics, a commonly encountered problem is to extract a subset of variables out of a large set of explanatory variables associated with one or several quantitative or qualitative response variables.
Mehmood Tahir   +4 more
doaj   +1 more source

Preoperative circulating tumor cells integrated with imaging analysis for prognostic evaluation in head and neck squamous cell carcinoma

open access: yesMolecular Oncology, EarlyView.
Detecting circulating tumor cells (CTCs) in blood before surgery may help predict outcomes in patients with head and neck squamous cell carcinoma (HNSCC). Here, we show when combined with tumor size and lymph node involvement from routine imaging, CTC status identifies high‐risk patients with poorer survival—offering a simple, minimally invasive tool ...
Susanne Flach   +9 more
wiley   +1 more source

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

open access: yesFEBS 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   +7 more
wiley   +1 more source

Bin-3-Way-PARAFAC-PLS: A 3-Way Partial Least Squares for Binary Response

open access: yesAxioms
In various research domains, researchers frequently encounter multiple datasets pertaining to the same subjects, with one dataset providing explanatory variables for the others.
Elisa Frutos-Bernal   +2 more
doaj   +1 more source

Guiding AlphaFold to predict how Munc13‐1 opens Syntaxin‐1

open access: yesFEBS Open Bio, EarlyView.
The syntaxin‐1 Habc‐domain (orange), linker (pink) and SNARE motif (yellow) form a closed conformation that binds to Munc18‐1 (violet) and is opened by the Munc13‐1 MUN domain (cyan) to form the SNARE complex that triggers neurotransmitter release.
Madhurima Chattopadhyay   +2 more
wiley   +1 more source

Optimization Method of Fusing Model Tree into Partial Least Squares

open access: yesITM Web of Conferences, 2017
Partial Least Square (PLS) can’t adapt to the characteristics of the data of many fields due to its own features multiple independent variables, multi-dependent variables and non-linear.
Yu Fang   +5 more
doaj   +1 more source

Partial Least Squares Regression Performs Well in MRI-Based Individualized Estimations

open access: yesFrontiers in Neuroscience, 2019
Estimation of individuals’ cognitive, behavioral and demographic (CBD) variables based on MRI has attracted much research interest in the past decade, and effective machine learning techniques are of great importance for these estimations.
Chen Chen, Xuyu Cao, Lixia Tian
doaj   +1 more source

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