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Predicting potential SARS-CoV-2 spillover and spillback in animals
The COVID-19 pandemic is spreading rapidly around the world, causing countries to impose lockdowns and efforts to develop vaccines on a global scale. However, human-to-animal and animal-to-human transmission cannot be ignored, a ... Read More >
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Screen Them All: High-Throughput Pan-Cancer Genetic and Phenotypic Biomarker Scr ...
Many molecular alterations serve as clinically prognostic or therapy-predictive biomarkers, typically detected using single or multi-gene molecular assays. However, these assays are expensive, tissue destructive and often take w ... Read More >
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GitHub is an effective platform for collaborative and reproducible laboratory re ...
Laboratory research is a complex, collaborative process that involves several stages, including hypothesis formulation, experimental design, data generation and analysis, and manuscript writing. Although reproducibility and data ... Read More >
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Constructing the Molecular Tree of Life using Assembly Theory and Mass Spectrome ...
Here we demonstrate the first biochemistry-agnostic approach to map evolutionary relationships at the molecular scale, allowing the construction of phylogenetic models using mass spectrometry (MS) and Assembly Theory (AT) withou ... Read More >
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Probing leukemia cells behavior under starvation
The ability of a cancer cell population to achieve heterogeneity in their phenotype distributions offers advantages in tumor invasiveness and drug resistance. Studying the mechanisms behind such observed heterogeneity in mammali ... Read More >
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Parametric Sensitivity Analysis for Models of Reaction Networks within Interacti ...
Models of reaction networks within interacting compartments (RNIC) are a generalization of stochastic reaction networks. It is most natural to think of the interacting compartments as ``cells'' that can appear, degrade, split, a ... Read More >
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Quantum Annealing for Enhanced Feature Selection in Single-Cell RNA Sequencing D ...
Feature selection is vital for identifying relevant variables in classification and regression models, especially in single-cell RNA sequencing (scRNA-seq) data analysis. Traditional methods like LASSO often struggle with the no ... Read More >
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Integrated population model reveals human and environment driven changes in Balt ...
Integrated population models (IPMs) are a promising approach to test ecological theories and assess wildlife populations in dynamic and uncertain conditions. By combining multiple data sources into a single, unified model, they ... Read More >
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Cortical network reconfiguration aligns with shifts of basal ganglia and cerebel ...
Mammalian functional architecture flexibly adapts, transitioning from integration where information is distributed across the cortex, to segregation where information is focal in densely connected communities of brain regions. T ... Read More >
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Fast computation of the statistical significance test for spatio-temporal recept ...
Background: Spatio-temporal receptive fields (STRF) of visual neurons are often estimated using spike-triggered averaging of binary pseudo-random stimulus sequences. The stimuli are visual displays that contain black and white p ... Read More >