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Modeling the biological growth with a random logistic differential equation
We modeled biological growth using a random differential equation (RDE), where the initial condition is a random variable, and the growth rate is a...
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Random Forest for Genomic Prediction
We give a detailed description of random forest and exemplify its use with data from plant breeding and genomic selection. The motivations for using...
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Covariance regression with random forests
Capturing the conditional covariances or correlations among the elements of a multivariate response vector based on covariates is important to...
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Corvids optimize working memory by categorizing continuous stimuli
Working memory (WM) is a crucial element of the higher cognition of primates and corvid songbirds. Despite its importance, WM has a severely limited...
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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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Management zone classification for variable-rate soil residual herbicide applications
The use of soil residual herbicides, along with other practices that diversify weed management strategies, have been recommended to improve weed...
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Why not be random to build a woody crown network?
We compared the decomposition, topology, and properties of 58 natural woody crown networks (WCN) from Cerrado and Caatinga vegetation with the same...
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Non-random Codon Usage of Synonymous and Non-synonymous Mutations in the Human HLA-A Gene
The structure and function of human leucocyte antigen (HLA-A) is well known and is an extremely variable protein. From the public HLA-A database, we...
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Modeling and Optimizing Dynamic Treatment Regimens in Continuous Time
Modeling and optimizing sequential clinical actions (dynamic treatment regimes, DTRs) in continuous time are crucial in many biomedical applications,...
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missForest with feature selection using binary particle swarm optimization improves the imputation accuracy of continuous data
BackgroundMissing data are a common problem in large-scale datasets and its appropriate handling is crucial for data analyses. Missingness can be...
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Reach hydromorphology: a crucial environmental variable for the occurrence of riverine macrophytes
Management measures targeting riverine macrophyte species often address dissolved nitrogen and phosphorus compounds. With recent reductions of...
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Effect of environmental gradients on community structuring of aerial insectivorous bats in a continuous forest in Central Amazon
Biotic and abiotic environmental factors influence the abundance and spatial distribution of species and the structuring of communities along...
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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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CMIC: an efficient quality score compressor with random access functionality
BackgroundOver the past few decades, the emergence and maturation of new technologies have substantially reduced the cost of genome sequencing. As a...
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Effects of rotation and Bacillus on the changes of continuous crop** soil fungal communities in American ginseng
The continuous crop** obstacle is the main factor in leading to difficulty in American ginseng replanting. The dormant microbiota in the soil may...
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Within-field spatial variability and potential for profitability of variable rate applications
Since literature is not unanimous about profitability of variable rate application (VRA), a systematic analysis is essential to determine when, where...
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Random mutagenesis as a tool for industrial strain improvement for enhanced production of antibiotics: a review
Secondary metabolites are produced by microbes in minimal quantities in the natural environment out of necessity. However, in the pharmaceutical...
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Impacts of continuous crop** on the rhizospheric and endospheric microbial communities and root exudates of Astragalus mongholicus
Astragalus mongholicus is a medicinal plant that is known to decrease in quality in response to continuous crop**. However, the differences in the...
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Fixed- and Random-Effects Models
Deciding whether to use a fixed-effect modelMeta-analysisfixed-effect model or a random-effects model is a primary decision an analyst must make when...
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Disparities in spatially variable gene calling highlight the need for benchmarking spatial transcriptomics methods
Identifying spatially variable genes (SVGs) is a key step in the analysis of spatially resolved transcriptomics data. SVGs provide biological...
