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A hybrid dynamical system approach to predicting the resilience of community dynamics with seasonal migrations under climate change
Migratory species have the potential to strongly mediate stability of resident communities. However, the seasonal nature of their interactions has...
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Automatic disease prediction from human gut metagenomic data using boosting GraphSAGE
BackgroundThe human microbiome plays a critical role in maintaining human health. Due to the recent advances in high-throughput sequencing...
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Robust classification using average correlations as features (ACF)
MotivationIn single-cell transcriptomics and other omics technologies, large fractions of missing values commonly occur. Researchers often either...
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Genome-Wide Effects on Gene Expression Between Parental and Filial Generations of Trisomy 11 and 12 of Rice
Aneuploid refers to the gene dosage imbalance due to copy number alterations. Aneuploidy is generally harmful to the growth, development and...
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Adaptive Designs for Precision Medicine in Clinical Trials: A Review and Some Innovative Designs
Precision medicine proposes the customization of health-care tailored to a patient based on the individual characteristics. Adaptive randomization...
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Gut Microbiota Dysbiosis and Increased NLRP3 Levels in Patients with Pregnancy-Induced Hypertension
Pregnancy-induced hypertension (PIH) is one of the most common diseases, causing high maternal morbidity and mortality. However, the correlation of...
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Integration of graph neural networks and genome-scale metabolic models for predicting gene essentiality
Genome-scale metabolic models are powerful tools for understanding cellular physiology. Flux balance analysis (FBA), in particular, is an...
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How to balance the bioinformatics data: pseudo-negative sampling
BackgroundImbalanced datasets are commonly encountered in bioinformatics classification problems, that is, the number of negative samples is much...
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A deep learning approach to detect and identify live freshwater macroinvertebrates
The study of macroinvertebrates using computer vision is in its infancy and still faces multiple challenges including destructive sampling, low...
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Extracting chemical reactions from text using Snorkel
BackgroundEnzymatic and chemical reactions are key for understanding biological processes in cells. Curated databases of chemical reactions exist but...
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Autonomic nervous system imbalance during aging contributes to impair endogenous anti-inflammaging strategies
Inflammaging refers to the age-related low grade, sterile, chronic, systemic, and long-lasting subclinical, proinflammatory status, currently...
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Madhuca longifolia-hydro-ethanolic-fraction reverses mitochondrial dysfunction and modulates selective GLUT expression in diabetic mice fed with high fat diet
BackgroundMetabolic disorder is characterized as chronic low-grade inflammation which elevates the systemic inflammatory markers. The proposed...
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Generalized precursor prediction boosts identification rates and accuracy in mass spectrometry based proteomics
Data independent acquisition mass spectrometry (DIA-MS) has recently emerged as an important method for the identification of blood-based biomarkers....
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An Automatic Recommendation Method for Single-Cell DNA Variant Callers Based on Meta-Learning Framework
The rapid expansion of single-cell sequencing-based research has motivated a proliferation of variant callers on the sequencing data. Due to the...
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IHCP: interpretable hepatitis C prediction system based on black-box machine learning models
BackgroundHepatitis C is a prevalent disease that poses a high risk to the human liver. Early diagnosis of hepatitis C is crucial for treatment and...
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Deep Learning Reveals Biological Basis of Racial Disparities in Quadruple-Negative Breast Cancer
Triple-negative breast cancer (TNBC) lacks crucial receptors. More aggressive is quadruple-negative (QNBC), which lacks androgen receptors. Racial...
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Metagenomic and metabolomic analysis showing the adverse risk–benefit trade-off of the ketogenic diet
BackgroundKetogenic diets are increasingly popular for addressing obesity, but their impacts on the gut microbiota and metabolome remain unclear....
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WTAP and m6A-modified circRNAs modulation during stress response in acute myeloid leukemia progenitor cells
N 6 -methyladenosine (m 6 A) is one of the most prevalent and conserved RNA modifications. It controls several biological processes, including the...
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Improved weed segmentation in UAV imagery of sorghum fields with a combined deblurring segmentation model
BackgroundEfficient and site-specific weed management is a critical step in many agricultural tasks. Image captures from drones and modern machine...
