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Improving resolution and resolvability of single-particle cryoEM structures using Gaussian mixture models
Cryogenic electron microscopy is widely used in structural biology, but its resolution is often limited by the dynamics of the macromolecule. Here we...
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A clustering procedure for three-way RNA sequencing data using data transformations and matrix-variate Gaussian mixture models
RNA sequencing of time-course experiments results in three-way count data where the dimensions are the genes, the time points and the biological...
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Optimal estimation of the length-biased inverse Gaussian mean with a case study on Eastern Tropical Pacific dolphins
This paper deals with estimating the underlying parameter of a length-biased inverse Gaussian distribution, when the observations are prone to...
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GMMchi: gene expression clustering using Gaussian mixture modeling
BackgroundCancer evolution consists of a stepwise acquisition of genetic and epigenetic changes, which alter the gene expression profiles of cells in...
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Deep learning-based mixed-dimensional Gaussian mixture model for characterizing variability in cryo-EM
Structural flexibility and/or dynamic interactions with other molecules is a critical aspect of protein function. Cryogenic electron microscopy...
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Estimation of Shear Force Distribution in Two-Stage Open Channel Using SVM and ANFIS
The prediction of discharge is a challenging task for compound channel due to exchange of momentum at the junction of main channel and floodplain....
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Spatiotemporal modelling of \(\hbox {PM}_{2.5}\) concentrations in Lombardy (Italy): a comparative study
This study presents a comparative analysis of three predictive models with an increasing degree of flexibility: hidden dynamic geostatistical models...
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Genetic identification and characterization of chromosomal regions for kernel length and width increase from tetraploid wheat
BackgroundImprovement of wheat gerc Triticum aestivum L.) yield could relieve global food shortages. Kernel size, as an important component of...
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Ideal adaptive control in biological systems: an analysis of \(\mathbb {P}\)-invariance and dynamical compensation properties
BackgroundDynamical compensation (DC) provides robustness to parameter fluctuations. As an example, DC enables control of the functional mass of...
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Hessian Regularized \(L_{2,1}\)-Nonnegative Matrix Factorization and Deep Learning for miRNA–Disease Associations Prediction
AbstractSince the identification of microRNAs (miRNAs), empirical research has demonstrated their crucial involvement in the functioning of...
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Generalized data-driven optimal path planning framework for uniform coverage missions using crop spraying UAVs
Unmanned aerial vehicle (UAV) based crop spraying has become a popular alternative in the field of precision agriculture. One of the key goals of UAV...
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Prediction of body weight of Curraleiro Pé-Duro cattle based on morphometric measurements
Cattle weight development is highly correlated with some body measurements. Based on the relationship between morphometric measurements and body...
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Optimizing XCMS parameters for GC-MS metabolomics data processing: a case study
Background and aimsOptimizing metabolomics data processing parameters is a challenging and fundamental task to obtain reliable results. Automated...
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Curvature sensing lipid dynamics in a mitochondrial inner membrane model
Membrane curvature is essential for many cellular structures and processes, and factors such as leaflet asymmetry, lipid composition, and proteins...
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Statistically unbiased prediction enables accurate denoising of voltage imaging data
Here we report SUPPORT (statistically unbiased prediction utilizing spatiotemporal information in imaging data), a self-supervised learning method...
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The Effect of Active Alkali and Sulfidity Loading on the Kraft Pulp Properties of Sweet Sorghum Bagasse
A study was carried out to observe how active alkali and sulfidity loading affect the kraft pulp characteristics of sweet sorghum bagasse (SSB). SSB...
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Hist2Vec: Kernel-Based Embeddings for Biological Sequence Classification
Biological sequence classification is vital in various fields, such as genomics and bioinformatics. The advancement and reduced cost of genomic...
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A Quantitative Method for Evaluating Phragmoplast Morphology
Phragmoplasts are plant-specific microtubule structures that form cell plates at the cell division plane. During late anaphase, phragmoplasts emerge...