Results 121 to 130 of about 11,154,365 (309)

Optimal Scaling of Interaction Effects in Generalized Linear Models [PDF]

Multiplicative interaction models, such as Goodman's RC(M) association models, can be a useful tool for analyzing the content of interaction effects. However, most models for interaction effects are only suitable for data sets with two or three predictor
Koning, A.J., Rosmalen, J.M. van, Groenen, P.J.F.   +2 more
core  

Design and analysis strategies for robust microbiome ageing research

FEBS Letters, EarlyView.
The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik, İsmail Güderer, Yi Wang, Tayyaba Alvi, Prasoon Pandey, Handan Melike Dönertaş   +5 more
wiley   +1 more source

ABL kinase‐dependent phosphorylation of SH proteins promotes their direct interaction with CRK family SH2 domains

FEBS Letters, EarlyView.
CT10 regulator of kinase (CRK) and CRK‐Like (CRKL) are signaling adaptors driving cell adhesion, motility, differentiation, and proliferation. SH2‐domain containing (SH) proteins are enriched in YXXP motifs which when phosphorylated create preferred binding sites for CRK family SH2 domains.
Phoebe M. Cousens, Brendan W. Chandler, Anna M. Schmoker, Jaye L. Weinert, Charlotte A. Kearns, Warren T. Yacawych, Amila Šemić, Alicia M. Ebert, Bryan A. Ballif   +8 more
wiley   +1 more source

Linear models, smooth transition autoregressions and neural networks for forecasting macroeconomic time series: A reexamination [PDF]

In this paper we examine the forecast accuracy of linear autoregressive, smooth transition autoregressive (STAR), and neural network (NN) time series models for 47 monthly macroeconomic variables of the G7 economies.
Timo Teräsvirta, Marcelo Cunha Medeiros, Dick van Dijk   +2 more
core  

Classical tests, linear models and their extensions for the analysis of 2 × 2 contingency tables

Methods in Ecology and Evolution
Ecologists and evolutionary biologists are regularly tasked with the comparison of binary data across groups. There is, however, some discussion in the biostatistics literature about the best methodology for the analysis of data comprising binary ...
Rebecca Nagel, Graeme D. Ruxton, Michael B. Morrissey   +2 more
doaj   +1 more source

Bite Me: Bark Stripping Showed Negligible Effect on Volume Growth of Norway Spruce in Latvia

Plants
Over the past few decades, increasing populations of cervid species in the Baltic region have reduced the quality and vitality of cultivated Norway spruce (Picea abies (L.) Karst.) stands.
Agnese Anta Liepiņa, Sabīne Ieviņa, Endijs Bāders, Gundega Done, Roberts Matisons, Ieva Jaunslaviete, Beate Bērziņa, Āris Jansons   +7 more
doaj   +1 more source

Reconstructing enzyme evolution by protein engineering

FEBS Letters, EarlyView.
Natural enzyme evolution can be retraced by protein engineering methods such as directed evolution, rational design, and ancestral sequence reconstruction. These approaches reveal how enzymes emerged from ligand‐binding scaffolds, developed varying substrate preferences, formed oligomeric complexes, adapted to environmental changes, and evolved novel ...
Lukas Drexler, Markus R. Busch, Reinhard Sterner   +2 more
wiley   +1 more source

Genomic Prediction for Inbred and Hybrid Polysomic Tetraploid Potato Offspring

Agriculture
Potato genetic improvement begins with crossing cultivars or breeding clones which often have complementary characteristics for producing heritable variation in segregating offspring, in which phenotypic selection is used thereafter across various ...
Rodomiro Ortiz, Fredrik Reslow, Ramesh Vetukuri, M. Rosario García-Gil, Paulino Pérez-Rodríguez, José Crossa   +5 more
doaj   +1 more source

Investigating transcription factor dynamics in health and disease using FRAP

FEBS Letters, EarlyView.
FRAP analysis of GFP‐tagged transcription factors reveals how molecular mobility and target engagement change in response to drug treatment. By combining live‐cell imaging, quantitative model fitting, and statistical analysis, this approach uncovers transcription factor dynamics linked to disease mechanisms, providing a powerful framework for ...
Kannan Govindaraj, Carolina Vazquez Garzon, Jose Joaquin Velasco, Janine N. Post   +3 more
wiley   +1 more source

Forecasting Quarterly Brazilian GDP Growth Rate With Linear and NonLinear Diffusion Index Models [PDF]

This paper uses linear and non-linear diffusion index models and combination of them to produce one-step-ahead forecast of quarterly Brazilian GDP growth rate. The non-linear diffusion index models are not only parsimonious ones, but they also purport to
Herman Bierens, Ivan Castelar, Roberto Tatiwa Ferreira   +2 more
core