Results 71 to 80 of about 689,927 (311)

Recursive Principal Components Analysis Using Eigenvector Matrix Perturbation

EURASIP Journal on Advances in Signal Processing, 2004
Principal components analysis is an important and well-studied subject in statistics and signal processing. The literature has an abundance of algorithms for solving this problem, where most of these algorithms could be grouped into one of the following ...
Deniz Erdogmus, Yadunandana N. Rao, Hemanth Peddaneni, Anant Hegde, Jose C. Principe   +4 more
doaj   +1 more source

Application of Principal Component Analysis for Steel Material Components

Kurdistan Journal of Applied Research, 2022
In this research, we made use of the principal component analysis (PCA) technique, which is a multivariate statistical method that transforms a fixed number of correlated variables into a fixed number of orthogonal, uncorrelated axes known as principal ...
Miran Othman Tofiq, Kawa Muhammad Jamal Rasheed   +1 more
doaj   +1 more source

Coordinating Principal Component Analyzers [PDF]

, 2002
Mixtures of Principal Component Analyzers can be used to model high dimensional data that lie on or near a low dimensional manifold. By linearly mapping the PCA subspaces to one global low dimensional space, we obtain a 'global' low dimensional coordinate sys- tem for the data.
Verbeek, Jakob, Vlassis, Nikos, Krose, Ben   +2 more
openaire   +3 more sources

Spatiotemporal and quantitative analyses of phosphoinositides – fluorescent probe—and mass spectrometry‐based approaches

FEBS Letters, EarlyView.
Fluorescent probes allow dynamic visualization of phosphoinositides in living cells (left), whereas mass spectrometry provides high‐sensitivity, isomer‐resolved quantitation (right). Their synergistic use captures complementary aspects of lipid signaling. This review illustrates how these approaches reveal the spatiotemporal regulation and quantitative
Hiroaki Kajiho, Shin Morioka, Junko Sasaki, Takehiko Sasaki   +3 more
wiley   +1 more source

Sketching for Principal Component Regression [PDF]

SIAM Journal on Matrix Analysis and Applications, 2019
Principal component regression (PCR) is a useful method for regularizing linear regression. Although conceptually simple, straightforward implementations of PCR have high computational costs and so are inappropriate when learning with large scale data.
Liron Mor-Yosef, Haim Avron
openaire   +2 more sources

Phosphatidylinositol 4‐kinase as a target of pathogens—friend or foe?

FEBS Letters, EarlyView.
This graphical summary illustrates the roles of phosphatidylinositol 4‐kinases (PI4Ks). PI4Ks regulate key cellular processes and can be hijacked by pathogens, such as viruses, bacteria and parasites, to support their intracellular replication. Their dual role as essential host enzymes and pathogen cofactors makes them promising drug targets.
Ana C. Mendes, Guilherme M. Azevedo, Amanda P. Barcellos, Diana Bahia   +3 more
wiley   +1 more source

Principal component and factor analysis to study variations in the aging lumbar spine [PDF]

, 2015
Human spine is a multifunctional structure of human body consisting of bones, joints, ligaments and muscles which all undergo a process of change with the age. A sudden change in these features either naturally or thorough injury can lead to some serious
Shah, Akeel A., Khan, Atif A., Hutchinson, Charles E., Iliescu, Daciana, Sneath, R. J. S.   +4 more
core   +1 more source

Genetic variation among diverse safflower genotypes for some agro-morphological traits

Oilseeds and fats, crops and lipids
This study sought to investigate the genetic diversity among 100 safflower genotypes concerning seed yield performance and seventeen morphological traits and yield components.
Sabaghnia Naser, Ebrahimi Hossein, Janmohammdi Mohsen   +2 more
doaj   +1 more source

Principal components of thermal regimes in mountain river networks [PDF]

Hydrology and Earth System Sciences, 2018
Description of thermal regimes in flowing waters is key to understanding physical processes, enhancing predictive abilities, and improving bioassessments.
D. J. Isaak, C. H. Luce, G. L. Chandler, D. L. Horan, S. P. Wollrab   +4 more
doaj   +1 more source

Protein pyrophosphorylation by inositol pyrophosphates — detection, function, and regulation

FEBS Letters, EarlyView.
Protein pyrophosphorylation is an unusual signaling mechanism that was discovered two decades ago. It can be driven by inositol pyrophosphate messengers and influences various cellular processes. Herein, we summarize the research progress and challenges of this field, covering pathways found to be regulated by this posttranslational modification as ...
Sarah Lampe, Tanmay Kumar Mohanty, Rashna Bhandari, Dorothea Fiedler   +3 more
wiley   +1 more source