Genetics

scAClc: A Multi-Objective Adaptive Clustering Framework for Single-Cell Transcriptomics via Contrastive and Resolution-Aware Representation Learning.

Single-cell RNA sequencing (scRNA-seq) enables whole-transcriptomic profiling at single-cell resolution, facilitating the construction of virtual cell representations that capture the full spectrum of cellular identities. Realizing this goal hinges on accurate clustering, which remains challenging due to data sparsity, high dimensionality, noise, and the need to specify cluster numbers a priori. W...

Integrating metagenomics into legume breeding: A breeder-centered roadmap from core microbiomes to precision inoculation.

Metagenomics, culture-independent profiling of genetic material recovered from environmental samples, provides a powerful route to characterize microbial communities associated with legumes and to translate their functional potential into breeding targets that enhance resilience and productivity. Across analyses of rhizosphere, endosphere, and seed microbiomes, repeated studies consistently identi...

HeFS: Helper-Enhanced Feature Selection via Pareto-Optimized Genetic Search.

INTRODUCTION: Feature selection plays a crucial role in improving predictive performance and interpretability in high-dimensional machine learning tas...

Investigating the potential risk of nicotine exposure on glioblastoma: Integrating Mendelian randomization and network toxicology analysis.

OBJECTIVE: To investigate the potential risk of nicotine exposure on glioblastoma multiforme (GBM). METHODS: A two-sample Mendelian randomization (MR)...

Mechanistic Design of Graphdiyne-Based Multimodal Sensing Integrating Machine Learning and Photothermal Dynamics for Precision Recognition and On-Demand Inactivation.

Rapid and accurate detection of pathogenic bacteria remains essential for infection control and timely treatment. Here, we report a graphdiyne (GDY)-b...

Evaluating Public Sentiment on Attention-Deficit/Hyperactivity Disorder and Autism Spectrum Disorder Compared With Other Mental Health Disorders From Posts on X (Formerly Known as Twitter): Longitudinal Analysis.

BACKGROUND: Neurodevelopmental disorders, especially attention-deficit/hyperactivity disorder (ADHD) and autism spectrum disorder (ASD), have seen a m...

The Society for Craniofacial Genetics and Developmental Biology 48th Annual Meeting.

The Society for Craniofacial Genetics and Developmental Biology (SCGDB) held its 48th Annual Meeting at the University of Minnesota in Minneapolis on ...

Improved tumor-only variant calling and mutation burden estimation with VarNet-T.

Somatic variant calling algorithms typically detect mutations in cancer genomes by comparing sequence data from a tumor sample against a matched norma...

Volatomics-based biomarkers for non-invasive diagnosis and monitoring of inflammatory bowel disease.

BACKGROUND: Inflammatory bowel disease (IBD), including Crohn's disease and ulcerative colitis, is a chronic disorder that markedly impairs quality of...

Predicting mild familial exudative vitreoretinopathy with autosomal dominant inheritance using deep learning.

Oxide interface-based polymorphic electronic devices for neuromorphic computing.

Aside from recent advances in artificial intelligence (AI) models, specialized AI hardware is crucial for addressing large volumes of unstructured and...

Integrative analysis of single-cell and bulk RNA sequencing data using machine learning identifies PTGDS as a key subsynovial fibroblast gene in osteoarthritis.

Multi-omics and AI-guided discovery and validation of sisomicin as a COPA-targeting agent for pathological scar inhibition.

BACKGROUND: Pathological scars, including hypertrophic scars and keloids, are fibrotic skin disorders marked by excessive collagen deposition and pers...

Machine learning-based programmed cell death gene signature for prognosis and drug sensitivity in breast cancer.

Breast cancer (BRCA) heterogeneity necessitates robust prognostic biomarkers. Programmed cell death (PCD) serves a key role in tumor progression and t...

Simulation-based inference captures non-Markovian effects as exemplified in protein production kinetics through cell division.

Inferring protein production kinetics in dividing cells is complicated by protein inheritance from the mother cell. For instance, fluorescence measure...

ACAT1-mediated lactylation reprogramming governs immune-stromal crosstalk in ulcerative colitis.

Ulcerative colitis (UC), a chronic inflammatory bowel disorder characterized by progressive colonic inflammation, presents escalating global incidence...

Linking rare variants to cell-type function in profound autism with brain transcriptomics and foundation models.

Genetic association studies have identified numerous genes harboring protein-disrupting variants in individuals with profound autism, but identifying ...

"Unpatients" in haemostasis and thrombosis. A yardstick of current paths in healthy carriers of a genetic susceptibility.

"Unpatients" are health-conscious individuals -carrying a genetic susceptibility whose impact is unclear with respect to the risk of a clinical event-...

Predicting dairy cattle PL via longitudinal rumen microbiome dynamics using machine learning approaches.

Aging is a spontaneous biological process involving intricate regulatory mechanisms over time. Studies in mice and humans indicate that the gut microb...

Radiopathomic Graph Deep Learning for Multiscale Spatial-Contextual Modeling of Intratumoral Heterogeneity to Predict Breast Cancer Response to Neoadjuvant Therapy.

Purpose To develop an explainable radio-pathomic graph deep-learning (RPGDL) system for multiscale spatial-contextual modeling of intratumoral heterog...