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Evolutionary shift detection with ensemble variable selection
Abrupt environmental changes can lead to evolutionary shifts in trait evolution. Identifying these shifts is an important step in understanding the...
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Robust variable selection with exponential squared loss for the partially linear varying coefficient spatial autoregressive model
The partially linear varying coefficient spatial autoregressive model is a semi-parametric spatial autoregressive model in which the coefficients of...
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BGWAS: Bayesian variable selection in linear mixed models with nonlocal priors for genome-wide association studies
BackgroundGenome-wide association studies (GWAS) seek to identify single nucleotide polymorphisms (SNPs) that cause observed phenotypes. However,...
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Grace-AKO: a novel and stable knockoff filter for variable selection incorporating gene network structures
MotivationVariable selection is a common statistical approach to identifying genes associated with clinical outcomes of scientific interest. There...
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BG2: Bayesian variable selection in generalized linear mixed models with nonlocal priors for non-Gaussian GWAS data
BackgroundGenome-wide association studies (GWASes) aim to identify single nucleotide polymorphisms (SNPs) associated with a given phenotype. A common...
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Combining heterogeneous subgroups with graph-structured variable selection priors for Cox regression
BackgroundImportant objectives in cancer research are the prediction of a patient’s risk based on molecular measurements such as gene expression data...
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Randomized boosting with multivariable base-learners for high-dimensional variable selection and prediction
BackgroundStatistical boosting is a computational approach to select and estimate interpretable prediction models for high-dimensional biomedical...
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Analysis of polygenic selection in purebred and crossbred pig genomes using generation proxy selection map**
BackgroundArtificial selection on quantitative traits using breeding values and selection indices in commercial livestock breeding populations causes...
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Directional selection coupled with kin selection favors the establishment of senescence
BackgroundConventional wisdom in evolutionary theory considers aging as a non-selected byproduct of natural selection. Based on this, conviction...
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Selection signatures and population dynamics of transposable elements in lima bean
The domestication process in lima bean ( Phaseolus lunatus L.) involves two independent events, within the Mesoamerican and Andean gene pools. This...
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Scale-dependent habitat selection is shaped by landscape context in dispersing white-tailed deer
ContextIdentifying how animals select habitat while navigating landscapes is important for understanding behavioral ecology and guiding management...
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Selection index theory for populations under directional and stabilizing selection
BackgroundThe purpose of a selection index is that its use to select animals for breeding maximizes the profit of a breed in future generations. The...
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Evaluating spatially variable gene detection methods for spatial transcriptomics data
BackgroundThe identification of genes that vary across spatial domains in tissues and cells is an essential step for spatial transcriptomics data...
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Bayesian variable selection for high-dimensional data with an ordinal response: identifying genes associated with prognostic risk group in acute myeloid leukemia
BackgroundAcute myeloid leukemia (AML) is a heterogeneous cancer of the blood, though specific recurring cytogenetic abnormalities in AML are...
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Food patch selection by the largest European herbivore
The scaling relationship between digestive system and body mass shapes foraging strategies in herbivores. The Jarman–Bell principle and the forage...
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Landscape context and behavioral clustering contribute to flexible habitat selection strategies in a large mammal
An understanding of individual variation in animal habitat selection is important for effective conservation and management as well as predicting...
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Variable Selection for Time-to-Event Data
With the increasing availability of large scale biomedical and -omics data, researchers are offered with unprecedented opportunities to discover...
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A Framework for Selection of High-Yielding and Drought-tolerant Genotypes of Barley: Applying Yield-Based Indices and Multi-index Selection Models
Drought stress is one of the major environmental stresses that dramatically reduces agricultural production around the world. Barley ( Hordeum vulgare ...
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MarkerMap: nonlinear marker selection for single-cell studies
Single-cell RNA-seq data allow the quantification of cell type differences across a growing set of biological contexts. However, pinpointing a small...
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Comparison of cancer subtype identification methods combined with feature selection methods in omics data analysis
BackgroundCancer subtype identification is important for the early diagnosis of cancer and the provision of adequate treatment. Prior to identifying...
