Genetics

Integrated multi-omics analyses identified the H3K18la-based spatiotemporal characteristics and risk-stratified treatment strategy in lung adenocarcinoma.

Lung adenocarcinoma (LUAD) is the most common histological type of lung cancer, characterized by high mortality, recurrence, and metastasis. Despite advancements in therapies such as surgery, targeted treatment and immunotherapy, therapeutic resistance and immune evasion remain significant challenges. In our study, we integrated multi-omics data, including spatial transcriptomics, single-cell RNA ...

GuidedDE: Targeted black-box adversarial attacks via confidence-guided mutation on automatic speech recognition systems.

The vulnerability of Deep Neural Networks (DNNs) to black-box adversarial attacks remains a pressing issue in modern Automatic Speech Recognition (ASR) systems. Although existing query-based methods, which combine genetic algorithms (GAs) with gradient estimation, have made progress, they are hindered by two key limitations: high query consumption (ranging from 137k to 478k queries per attack) and...

MeNet: A mixed-effect deep neural network for multi-environment genomic prediction of agronomic traits.

Accurate genomic prediction of agronomic traits is critical for modern breeding and agriculture. Deep learning has great potential to enhance predicti...

Integrative profiling of condensation-prone RNAs during early development.

Complex RNA-protein networks play a pivotal role in the formation of many types of biomolecular condensates. How RNA features contribute to condensate...

Regulators of homologous recombination deficiency identified by machine learning using somatic multi-omics data.

Homologous recombination deficiency (HRD) is a critical biomarker for guiding targeted therapies, yet the full range of somatic alterations driving HR...

Molecular pathways of kidney development and their applications to clinical research.

Congenital anomalies of the kidney and urinary tract (CAKUT) are the major cause of childhood chronic kidney disease and an antecedent cause of adult-...

From sample to clinical insight: a review of exome sequencing in disease diagnostics.

Exome sequencing (ES) has transformed genomic research and clinical diagnostics by enabling precise identification of disease-associated variants with...

Uncovering and validating biomarkers associated with RNA methylation modifications in keloids: Insights from transcriptomic and Mendelian randomization analyses.

BACKGROUND: The pathogenesis of keloids is still unclear and effective biomarkers are lacking. Therefore, it is urgent to find clinically effective bi...

BRAIN-MAGNET: A functional genomics atlas for interpretation of non-coding variants.

Genome-wide assessment of genetic variation is becoming routine in genetics, yet functional interpretation of non-coding single nucleotide variants in...

Identification of the core genes KLRB1 and RETN as potential shared diagnostic markers for major depressive disorder and systemic lupus erythematosus through bioinformatics and machine learning methodologies.

This study investigates the shared molecular mechanisms between major depressive disorder (MDD) and systemic lupus erythematosus (SLE) through integra...

Harnessing artificial intelligence to advance CRISPR-based genome editing technologies.

CRISPR-based genome editing technologies, including nuclease-based editing, base editing and prime editing, have revolutionized biological research an...

Prediction and genetic analysis of blood β-hydroxybutyrate based on milk mid-infrared spectra in Fleckvieh dairy cows.

Hyperketonemia is a common metabolic disorder in early-lactation dairy cows that impairs milk performance and health. The gold-standard indicator for ...

AI-designed PNA-peptide chimera overcomes suboptimal binding for dual inhibition of viral RdRp.

The chimera combining the peptide nucleic acids (PNAs) and peptides represent a promising bifunctional strategy by concurrently binding with protein c...

Stability analysis of fractional-order impulsive Cohen-Grossberg neural networks with interdisciplinary applications in neurobiology and chemical kinetics.

This study investigates the global exponential stability of fractional-order Cohen-Grossberg neural networks (CGNN) with impulsive effects. Fractional...

Automatic measurement of pharyngeal contraction ratio during deglutition using 2D cine MRI with deep learning: A pilot study.

This study aimed to develop a deep learning-based method for automatic segmentation of the pharyngeal area (PA) and measurement of the pharyngeal cont...

Estimating the pupal age of Dermestes ater (Coleoptera: Dermestidae) using Fourier transform infrared spectroscopy combined with Chemometrics.

Necrophagous flies and beetles represent the two most forensically significant insect taxa. The pupal stage of beetles typically exhibits a longer dev...

Noninvasive nasopharyngeal cancer screening via salivary DNA detection using label-free surface-enhanced Raman spectroscopy.

Nasopharyngeal carcinoma (NPC) is a malignant tumor originating from the mucosal epithelium of the nasopharynx, which has a high incidence in southern...

Knowledge Graph Embedding Model Based on Spiking Neural-like Graph Attention Network for Relation Prediction.

Knowledge graphs (KGs) which represent entities and their relations in a structured manner, have become a fundamental resource for various natural lan...

Deep learning and molecular dynamics reveal promising EZH2 inhibitors for epigenetic cancer targeting.

Fine-tuned REINVENT generative model integrated with structure- and ligand-based computational approaches was applied to identify novel EZH2 inhibitor...

Artificial intelligence-powered signal analysis of loop-mediated isothermal amplification (LAMP) for the screening of Kaposi sarcoma at the point of care.

Unlike the polymerase chain reaction (PCR), loop-mediated isothermal amplification (LAMP) lacks a consistent thermal cycle, making quantification part...