Results 61 to 70 of about 1,105,140 (302)
Non‐linear canonical correlation† [PDF]
British Journal of Mathematical and Statistical Psychology, 1983 Non‐linear canonical correlation analysis is a method for canonical correlation analysis with optimal scaling features. The method fits many kinds of discrete data. The different parameters are solved for in an alternating least squares way and the corresponding program is called CANALS.
van der Burg, Eeke, de Leeuw, Jan
openaire +1 more source
Ligand‐dependent transcriptional heterogeneity in cell cycle gene expression delays G1/S entry
FEBS Letters, EarlyView.EGF and HRG induce distinct G1/S progression programs in ErbB2‐amplified BT474 breast cancer cells. Despite activating the potent ErbB2–ErbB3 heterodimer, HRG does not accelerate cell‐cycle entry. Instead, EGF promotes earlier restriction‐point passage via ERK–FOS signaling, whereas HRG activates the AKT–MYC axis, driving transcriptional heterogeneity ...
Ririn Rahmala Febri +5 more
wiley +1 more source
Canonical correlations for radish (Raphanus sativus l.) Growth variables
Revista ThemaThe importance to evaluate the final yield of the crop. The objective of this work was to estimate the linear relationships among growth variables, to evaluate groups of shoot and root variables by analyzing canonical correlations and the genetic ...
Tiago Pedó +11 more
doaj +1 more source
FEBS Letters, EarlyView.Encapsulins are protein nanocompartments that play an important role in iron storage. In the Myxococcus xanthus encapsulin system, two cargo proteins called EncB and EncC contribute to iron mineralization. Here, we show that EncB and EncC generate iron‐containing minerals with distinct chemical compositions, suggesting that the composition of stored ...
Harry B. McDowell +2 more
wiley +1 more source
PerseusDL/canonical-latinLit: 0.0.3950046025
, 2023 XML Canonical resources for Latin ...
Marius Jøhndal +19 more
core +1 more source
Permutation inference for canonical correlation analysis
NeuroImage, 2020 Canonical correlation analysis (CCA) has become a key tool for population neuroimaging, allowing investigation of associations between many imaging and non-imaging measurements.
Anderson M. Winkler +3 more
doaj +1 more source
FEBS Letters, EarlyView.Mycobacterial 3‐methylcrotonyl‐CoA carboxylase uses a mobile biotin‐carrying domain to shuttle a carboxyl group between two catalytic sites, enabling carboxylation of 3‐methylcrotonyl‐CoA during leucine breakdown. Cryo‐electron microscopy captures the carrier at both sites and reveals an inward loop movement that may prevent futile rebinding to the ...
Ajit Yadav +2 more
wiley +1 more source
PerseusDL/canonical-latinLit: None
, 2022 XML Canonical resources for Latin ...
Thibault Clérice
core +1 more source
Tensor canonical correlation analysis [PDF]
Stat, 2019 Canonical correlation analysis (CCA) is a multivariate analysis technique for estimating a linear relationship between two sets of measurements. Modern acquisition technologies, for example, those arising in neuroimaging and remote sensing, produce data in the form of multidimensional arrays or tensors.
Eun Jeong Min, Eric C. Chi, Hua Zhou
openaire +4 more sources
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 +6 more
wiley +1 more source