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An integrated single-cell RNA-seq map of human neuroblastoma tumors and preclinical models uncovers divergent mesenchymal-like gene expression programs
BackgroundNeuroblastoma is a common pediatric cancer, where preclinical studies suggest that a mesenchymal-like gene expression program contributes...
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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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Targeting the autophagy-NAD axis protects against cell death in Niemann-Pick type C1 disease models
Impairment of autophagy leads to an accumulation of misfolded proteins and damaged organelles and has been implicated in plethora of human diseases....
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Dependency-aware deep generative models for multitasking analysis of spatial omics data
Spatially resolved transcriptomics (SRT) technologies have significantly advanced biomedical research, but their data analysis remains challenging...
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Develo** nonlinear additive tree crown width models based on decomposed competition index and tree variables
Crown development is closely related to the biomass and growth rate of the tree and its width (CW) is an important covariable in growth and yield...
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Cross-species analysis of SHH medulloblastoma models reveals significant inhibitory effects of trametinib on tumor progression
Sonic Hedgehog (SHH) medulloblastomas (MBs) exhibit an intermediate prognosis and extensive intertumoral heterogeneity. While SHH pathway antagonists...
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Estimation of the non-linear parameter in Generalised Diversity-Interactions models is unaffected by change in structure of the interaction terms
Many approaches for modelling the biodiversity and ecosystem function (BEF) relationship have been developed over recent decades....
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Machine learning-based classification models for non-covalent Bruton’s tyrosine kinase inhibitors: predictive ability and interpretability
In this study, we built classification models using machine learning techniques to predict the bioactivity of non-covalent inhibitors of Bruton’s...
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Hawaiian native herb Mamaki prevents dementia by ameliorating neuropathology and repairing neurons in four different mouse models of neurodegenerative diseases
Neurodegenerative diseases including Alzheimer’s disease, frontotemporal dementia, and dementia with Lewy bodies are age-related disorders and the...
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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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Functional and variables selection in extreme value models for regional flood frequency analysis
The problem of estimating return levels of river discharge, relevant in flood frequency analysis, is tackled by relying on the extreme value theory....
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Accounting for overlap** annotations in genomic prediction models of complex traits
BackgroundIt is now widespread in livestock and plant breeding to use genoty** data to predict phenotypes with genomic prediction models. In...
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Current sequence-based models capture gene expression determinants in promoters but mostly ignore distal enhancers
BackgroundThe largest sequence-based models of transcription control to date are obtained by predicting genome-wide gene regulatory assays across the...
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Knockout mouse models as a resource for the study of rare diseases
Rare diseases (RDs) are a challenge for medicine due to their heterogeneous clinical manifestations and low prevalence. There is a lack of specific...
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Analysing the relationship between district heating demand and weather conditions through conditional mixture copula
Efficient energy production and distribution systems are urgently needed to reduce world climate change. Since modern district heating systems are...
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Assessment of Collagen in Translational Models of Lung Research
The extracellular matrix (ECM) plays an important role in lung health and disease. Collagen is the main component of the lung ECM, widely used for...
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Estimating total species using a weighted combination of expected mixture distribution component counts
In this paper we present a weighted mixture distribution component counts (MDCC) approach for estimating total number of species. The proposed method...
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Models to predict the radial variation of stiffness, strength, and density in planted noble fir, Norway spruce, western hemlock, and western red cedar in Great Britain
Key messageThis study compares the measured radial variation in wood stiffness, strength, and density of noble fir, Norway spruce, western hemlock,...
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Ameliorative Effects of Zn and Se Supplementation on Heavy Metal Mixture Burden via Increased Renal Metal Excretion and Restoration of Redoxo-Inflammatory Alterations
AbstractHeavy metals (HM)in the environment have provoked global attention because of its deleterious effects. This study evaluated the protection...
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Testing cognitive models of decision-making: selected studies with starlings
The behavioural sciences are home to controversies that have survived for centuries, notably about the relation between observable behaviour and...
