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Protocol variations in run-on transcription dataset preparation produce detectable signatures in sequencing libraries
BackgroundA variety of protocols exist for producing whole genome run-on transcription datasets. However, little is known about how differences...
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Scaling up reproducible research for single-cell transcriptomics using MetaNeighbor
Single-cell RNA-sequencing data have significantly advanced the characterization of cell-type diversity and composition. However, cell-type...
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Why voters who value democracy participate in democratic backsliding
Around the world, citizens are voting away the democracies they claim to cherish. Here we present evidence that this behaviour is driven in part by...
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A novel artificial intelligence protocol to investigate potential leads for diabetes mellitus
AbstractDipeptidyl peptidase-4 (DPP4) is highly participated in regulating diabetes mellitus (DM), and inhibitors of DPP4 may act as potential DM...
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A voting mechanism-based linear epitope prediction system for the host-specific Iridoviridae family
BackgroundThe Iridoviridae family is categorized into five genera and clustered into two subfamilies: Alphairidovirinae includes Lymphocystivirus , Ranavirus...
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Moral dilemmas and trust in leaders during a global health crisis
AbstractTrust in leaders is central to citizen compliance with public policies. One potential determinant of trust is how leaders resolve conflicts...
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A practical guide to machine-learning scoring for structure-based virtual screening
Structure-based virtual screening (SBVS) via docking has been used to discover active molecules for a range of therapeutic targets. Chemical and...
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Development of a predictive model to distinguish prostate cancer from benign prostatic hyperplasia by integrating serum glycoproteomics and clinical variables
BackgroundProstate Cancer (PCa) represents the second leading cause of cancer-related death in men. Prostate-specific antigen (PSA) serum testing,...
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A Machine Learning-Based Approach Using Multi-omics Data to Predict Metabolic Pathways
The integrative method approaches are continuously evolving to provide accurate insights from the data that is received through experimentation on... -
Insufficient sleep reduces voting and other prosocial behaviours
Insufficient sleep is a growing public health concern in industrial societies. Although a lack of sleep is known to negatively affect private...
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SEVtras delineates small extracellular vesicles at droplet resolution from single-cell transcriptomes
Small extracellular vesicles (sEVs) are emerging as pivotal players in a wide range of physiological and pathological processes. However, a pressing...
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Understanding political divisiveness using online participation data from the 2022 French and Brazilian presidential elections
Digital technologies can augment civic participation by facilitating the expression of detailed political preferences. Yet, digital participation...
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