Results 121 to 130 of about 26,129,289 (257)

Forecasting using a large number of predictors: Is Bayesian regression a valid alternative to principal components? [PDF]

This paper considers Bayesian regression with normal and doubleexponential priors as forecasting methods based on large panels of time series. We show that, empirically, these forecasts are highly correlated with principal component forecasts and that ...
De Mol, Christine, Reichlin, Lucrezia, Giannone, Domenico   +2 more
core   +2 more sources

An Exploration of Pathologies of Multilevel Principal Components Analysis in Statistical Models of Shape. [PDF]

J Imaging, 2022
Farnell DJJ.
europepmc   +1 more source

Structural and biochemical analysis of a B12 superbinder

FEBS Letters, EarlyView.
BtuG proteins are vitamin B12 scavengers in Bacteroides thetaiotaomicron, a dominant human gut bacterium. We present crystal structures of three BtuG homologs bound to cobalamin and its precursor cobinamide, revealing picomolar binding affinities, among the highest known for any natural protein.
Jose M. Martinez Felices, Jacob J. Whittaker, Dirk J. Slotboom, Albert Guskov   +3 more
wiley   +1 more source

Time series forecasting by principal covariate regression. [PDF]

This paper is concerned with time series forecasting in the presence of a large numberof predictors. The results are of interest, for instance, in macroeconomic and financialforecasting where often many potential predictor variables are available.
Dijk, D.J.C. van, Groenen, P.J.F., Heij, C.   +2 more
core  

From junk to function — How weak selection in eukaryotes builds new parts and drives genomic complexity

FEBS Letters, EarlyView.
How do genomes gain new functional parts? In eukaryotes, which tend to evolve under weak selection, much of the genome is junk. Palazzo and Qiu borrow the logic of Markov chains to show how non‐functional DNA becomes functional through the appearance of intermediate states, which arise due to epistasis, buffering, and biochemical messiness, allowing ...
Alexander F. Palazzo, Yi Qiu
wiley   +1 more source

Principal components analysis.

, 2016
Principal components analysis performed on all samples using the top 50 miRNAs showing the highest standard deviation across all samples.
Jonna Frasor (841097), Yang Dai (36730), Zarema H. Arbieva (841095), Emanuele Canestrari (841094), Wenbo Mu (841096), Elizabeth Wiley (841098), Rajyasree Emmadi (749163)   +6 more
core   +1 more source

EXPLORATORY ANALYSIS OF REGIONALIZED VARIABLES WITH FUNCTIONAL METHODS ANÁLISIS EXPLORATORIO DE VARIABLES REGIONALIZADAS CON MÉTODOS FUNCIONALES

Revista Colombiana de Estadística, 2007
It is shown how summary statistics of functional data and functional principal components analysis (FPCA) can be used to evaluate the stationarity assumption considered in modeling of regionalized variables.
Giraldo Ramón
doaj  

Competitive and Recreational Running Kinematics Examined Using Principal Components Analysis. [PDF]

Healthcare (Basel), 2021
Quan W, Zhou H, Xu D, Li S, Baker JS, Gu Y.   +5 more
europepmc   +1 more source

The Shewanella oneidensis Fic enzyme SoFic targets the switch‐I region of EF‐Tu for AMPylation

FEBS Letters, EarlyView.
Fic enzymes mediate diverse post‐translational modifications across all domains of life, including AMPylation. Prokaryotic EF‐Tu can be AMPylated and deAMPylated by the conserved Fic enzyme SoFic. Structural and biochemical approaches were used to characterize the effect of AMPylation on EF‐Tu, SoFic's enzymatic activities, and the enzyme‐target ...
Svenja Runge, Vivian Pogenberg, Alexander Baumgart, Bente Siebels, Hartmut Schlüter, Michael Hecht‐Bucher, Aymelt Itzen   +6 more
wiley   +1 more source

Appendix J. Principal components analysis.

, 2016
Principal components ...
Enric Sala (41631), Mikel Zabala (165218), Bernat Hereu (165196)   +2 more
core   +1 more source