Leveraging mixed-effects regression trees for the analysis of high-dimensional longitudinal data to identify the low and high-risk subgroups: simulation study with application to genetic study. [PDF]
Jahangiri M +7 more
europepmc +1 more source
Pooling information across sites and years to estimate bat fatalities at wind farms
We compared complete pooling (CP), no pooling (NP), and partial pooling (PP) approaches for estimating detection probabilities and hence bat fatalities at wind farms. Partial pooling integrates information across sites and years, improving precision with sparse data while preserving site‐level variation.
Natalia Berberian, Philip M. Dixon
wiley +1 more source
Optimal input signal design for closed loop aircraft flutter model analysis. [PDF]
Jianhong W.
europepmc +1 more source
Mass Spectrometry Structural Proteomics Enabled by Limited Proteolysis and Cross‐Linking
ABSTRACT The exploration of protein structure and function stands at the forefront of life science and represents an ever‐expanding focus in the development of proteomics. As mass spectrometry (MS) offers readout of protein conformational changes at both the protein and peptide levels, MS‐based structural proteomics is making significant strides in the
Haiyan Lu +4 more
wiley +1 more source
FSBLUP: a novel strategy of fusion similarity matrix construction via optimally integrating intermediate omics data to enhance genomic prediction. [PDF]
Xue Y +8 more
europepmc +1 more source
ABSTRACT Strategists who must identify issues in uncertain environments while being cognitively constrained can increasingly rely on artificial intelligence to manage uncertainty. The potential for AI to be incorporated into strategy processes has led to a debate about the evolving collaborative relationship between strategists and AI.
Thomas Hutzschenreuter +2 more
wiley +1 more source
Hybrid kernels integrating genomic and multispectral data improve wheat genomic prediction accuracy. [PDF]
Montesinos-López OA +8 more
europepmc +1 more source
BEST LINEAR UNBIASED PREDICTOR AND THE PREDICTION ERROR
openaire
Abstract Background SRRM4 is an exclusively neural‐expressed splicing‐factor gene not yet associated with a monogenic condition. Objective We sought to delineate movement disorders caused by SRRM4 variants. De novo splice‐donor‐site variants at position +2 of intron 5 of SRRM4 (c.464+2T>C, c.464+2T>A) occurred in three unrelated patients with dystonia ...
Philip Harrer +24 more
wiley +1 more source

