Genetics

Bioinformatics analysis and qRT-PCR validation of iron metabolism-related genes in pediatric asthma.

Pediatric asthma (PA) is a chronic airway disease with a complex etiology, and iron metabolism disor...

Filtering of artificial chimeric reads generated by ligation preparation method of nanopore sequencing.

Nanopore sequencing provides long and ultra-long reads that are valuable for structural variation (S...

TargetGAN: A generative AI framework for the design of plant core promoters with targeted activity.

Plant core promoters (PCPs) are key genetic elements that control gene expression and have significa...

Identification and Validation of Transcriptomic Signatures in Inflammatory Bowel Disease with Metabolic Syndrome via Bioinformatics and Machine Learning.

BACKGROUND: Inflammatory bowel disease (IBD) is a chronic, nonspecific inflammatory disorder affecti...

STC2-mediated calcium homeostasis dysregulation in the osteosarcoma microenvironment: Insights from single-cell sequencing and machine learning.

BACKGROUND: Osteosarcoma (OS) is an aggressive bone malignancy with a poor prognosis. Dysregulated c...

Cross-task interpretability through unified modeling reveals a universal shortcut bias in neoantigen prediction.

Accurate neoantigen prediction is central to the design of personalized cancer immunotherapy. The im...

A sequence knowledge-guided deep learning method for single-cell multi-omics translation.

BACKGROUND: Analysis of proteins is key to understanding biological processes, disease pathogenesis,...

Integrated multi-omics and machine learning identify Casp8 and Pycard as central regulators of pyroptosis and necroptosis in spinal cord injury.

Programmed cell death pathways exacerbate secondary damage after spinal cord injury, yet their share...

The AudioGene Translational Dashboard for Diagnosing Autosomal Dominant Nonsyndromic Hearing Loss: Phenotypic Data Visualization and Analysis Study.

BACKGROUND: Autosomal dominant nonsyndromic hearing loss (ADNSHL) is highly heterogeneous, with more...

Design of Single-Atom Nanozymes for Precision Treatment of Erectile Dysfunction with Integrated Single-Cell RNA Sequencing and Machine Learning.

Patients with diabetes mellitus-induced erectile dysfunction (DMED) usually suffer more severe sympt...

Learning inherent genetic patterns and trait associations with deep generative models for discrete genotype simulation.

BACKGROUND: Deep generative models open new avenues for simulating realistic genomic data while pres...

Hi-Compass: a depth-aware deep learning framework for predicting cell-type-specific 3D genome organization from single-cell to spatial resolution.

Three-dimensional genome organization controls cell-type-specific gene expression through chromatin ...

Quantum dot-DNA microsphere aptamer biosensor with AI-assisted structural modeling for rapid detection of the lung cancer biomarker USE1.

BACKGROUND: Lung cancer remains a leading cause of cancer-related mortality worldwide, highlighting ...

Neutrophil CD14 is a driver and a therapeutic target for deep vein thrombosis.

Neutrophil-mediated persistent inflammation and neutrophil extracellular trap formation (NETosis) ar...

Evaluation of the impact of glycolysis-related gene signatures on prognosis and therapeutic targeting in lung adenocarcinoma.

Abnormal glycolysis is one of the hallmarks of cancer and plays a significant role in its progressio...

Novel machine learning-based approach to identify viral biomarkers of human respiratory emissions from oral and nasal metagenomes.

Humans spend approximately 90% of their lives in built environments, making virus transmission indoo...

Data-driven modelling of tau pathology reveals distinct progressive supranuclear palsy subtypes.

Progressive supranuclear palsy (PSP) is a heterogeneous neurodegenerative disease characterised by t...

Bridging Trials and Real Life in Fixed-Duration BTKi-Venetoclax for CLL: A Delphi-Enhanced Synthesis Incorporating Artificial Intelligence (AI) Benchmarks.

BACKGROUND: Optimal patient selection for the most effective BTK inhibitor (BTKi) partner of venetoc...

Identification of a novel platelet-related prognostic model for hepatocellular carcinoma.

Hepatocellular carcinoma (HCC) is a highly lethal malignancy with high invasiveness and metastasis. ...

Efficient and interpretable DNA/RNA representation using Komlós-Hadamard transforms.

CMML2AML: machine-learning discovery of co-mutations and specific single mutations predictive of blast transformation in chronic myelomonocytic leukemia.

Contemporary risk models in chronic myelomonocytic leukemia (CMML) focus on the prognostic relevance...