Results 81 to 90 of about 70,549 (302)

Analysis of the time to sustained progression in Multiple Sclerosis using generalised linear and additive models [PDF]

, 2003
The course of multiple sclerosis (MS) is generally difficult to predict. This is due to the great inter-individual variability with respect to symptoms and disability status.
Hellriegel, B., Neiss, A., Neiss, Albrecht, Hellriegel, Barbara, Gehrmann, U., Fahrmeir, Ludwig   +5 more
core   +1 more source

Rapid screening of staphylokinase protein variants using an unpurified cell‐free expression system

FEBS Open Bio, EarlyView.
An unpurified cell‐free protein synthesis (CFPS) platform enables rapid functional screening of staphylokinase variants. Direct plasminogen‐activation assays performed in microplate format provide real‐time activity readouts, allowing rapid identification and ranking of variants with improved or reduced fibrinolytic activity without protein ...
Maria Tomková, Veronika Hovanová, Jiri Damborsky, Erik Sedlák   +3 more
wiley   +1 more source

Analyzing weight evolution in mice infected by Trypanosoma cruzi

Acta Scientiarum. Health Sciences, 2020
Concerning the specificities of a longitudinal study, the trajectories of a subject's mean responses not always present a linear behavior, which calls for tools that take into account the non-linearity of individual trajectories and that describe them ...
Breno Gabriel da Silva, Terezinha Aparecida Guedes, Vanderly Janeiro, Érika Cristina Ferreira, Silvana Marques de Araújo, Larissa Ciupa   +5 more
doaj   +1 more source

Suppression of lung adenocarcinoma migration through organelle alkalization by human lactoferrin – albumin fusion

FEBS Open Bio, EarlyView.
This paper reveals how human lactoferrin–albumin fusion (hLF‐HSA) potently suppresses lung adenocarcinoma cell migration. hLF‐HSA upregulates NHE7, leading to Golgi alkalization, disruption of the Golgi secretome, downregulation of MMP1, and reversal of EMT. These findings suggest a novel Golgi‐targeting strategy to suppress cancer cell migration.
Hana Nopia, Masahiro Kimura, Daisuke Kurimoto, Atsushi Sato   +3 more
wiley   +1 more source

On the decomposition of Generalized Additive Independence models

CoRR, 2016
The GAI (Generalized Additive Independence) model proposed by Fishburn is a generalization of the additive utility model, which need not satisfy mutual preferential independence. Its great generality makes however its application and study difficult.
Michel Grabisch, Christophe Labreuche
openaire   +2 more sources

Identifying gene expression signatures for risk stratification of postoperative adjuvant chemotherapy in colorectal cancer

FEBS Open Bio, EarlyView.
A novel signature integrating genome‐wide analysis with clinical factors predicts recurrence in stage II colorectal cancer and enables a new risk stratification to guide postoperative adjuvant chemotherapy. Clinical risk stratification for postoperative recurrence in patients with pathological stage II (pStage II) colorectal cancer (CRC) is essential ...
Mayuko Otomo, Keisuke Okuno, Shuichi Watanabe, Sakiko Oba, Hiroyasu Kagawa, Masanori Tokunaga, Daisuke Ban, Yusuke Kinugasa   +7 more
wiley   +1 more source

Modeling the short-term effect of traffic on air pollution in Torino with generalized additive models [PDF]

Vehicular traffic typically plays an important role in atmospheric pollution. This is especially true in urban areas, where high pollutant concentrations are often observed. In this paper, we consider hourly measures of concentrations of nitrogen oxides (
Rosalba Ignaccolo, Vanja Dukic, Pancrazio Bertaccini   +2 more
core  

Boosting Correlation Based Penalization in Generalized Linear Models [PDF]

, 2007
In high dimensional regression problems penalization techniques are a useful tool for estimation and variable selection. We propose a novel penalization technique that aims at the grouping effect which encourages strongly correlated predictors to be in ...
Tutz, Gerhard, Ulbricht, Jan
core   +1 more source

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

FEBS 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, Omar Arias‐Gaguancela, Fiona Gibson, Morgan Grainger, Jodie Score, Amit Nathubhai, Mauricio Cafiero, Lee Richard Machado   +7 more
wiley   +1 more source

BayesX: Analyzing Bayesian Structural Additive Regression Models [PDF]

There has been much recent interest in Bayesian inference for generalized additive and related models. The increasing popularity of Bayesian methods for these and other model classes is mainly caused by the introduction of Markov chain Monte Carlo (MCMC)
Andreas Brezger, Stefan Lang, Thomas Kneib   +2 more
core   +1 more source