Genetics

Integrative single-cell and cell-free plasma RNA transcriptomics identifies biomarkers for early non-invasive AD screening.

INTRODUCTION: Data-driven omics approaches have rapidly advanced our understanding of the molecular ...

Prediction of the Association between Transfer RNA and Diseases: A Deep Learning Approach Combining Multi-View Graph Convolution and Attention Mechanisms.

: Identifying the associations between transfer RNA (tRNA) and diseases is critical for disease diag...

Navigating the future of fertility preservation: advanced predictive strategies for treatment outcomes of endometrial atypical hyperplasia and carcinoma.

Due to the decreasing age of onset and the postponement of childbearing, there is a growing number o...

Integrating Radiogenomics and Machine Learning in Musculoskeletal Oncology Care.

Musculoskeletal tumors present a diagnostic challenge due to their rarity, histological diversity, a...

Advances in the Directed Evolution of Computer-aided Enzymes.

Experimental-driven directed evolution has achieved remarkable success in enzyme engineering. Howeve...

Genome-wide Association Studies of the Pathogenic Sphingosine-1-Phosphate Gene in Ulcerative Colitis.

BACKGROUND: Ulcerative colitis (UC) is a chronic inflammatory bowel disease that can lead to maligna...

BindUP-Alpha: A Webserver for Predicting DNA-and RNA-binding Proteins based on Experimental and Computational Structural Models☆.

Structural data provides important information on the proteins' function. Recent development of adva...

AI-driven approaches in therapeutic interventions: Transforming RNA-seq analysis into biomarker discovery and drug development.

Pharmacotranscriptomics integrates transcriptomics and pharmacology to discover potential therapeuti...

A visual-omics foundation model to bridge histopathology with spatial transcriptomics.

Artificial intelligence has revolutionized computational biology. Recent developments in omics techn...

A protein-based classifier for differentiating follicular thyroid adenoma and carcinoma.

Differentiating follicular thyroid adenoma (FTA) from carcinoma (FTC) remains challenging due to sim...

Disulfide bond-related gene signature development for bladder cancer prognosis prediction and immune microenvironment characterization.

Bladder cancer is the fourth most common malignant tumor in men, with limited therapeutic biomarkers...

Bioinformatics prediction of function of T-cell exhaustion related genes in ischemic stroke.

Ischemic stroke (IS) is a multifactorial disease caused by the interaction of a variety of environme...

Predicting expression-altering promoter mutations with deep learning.

Only a minority of patients with rare genetic diseases are currently diagnosed by exome sequencing, ...

To explore the molecular mechanisms and shared genetic characteristics of rheumatoid arthritis and cervical cancer based on multiple omics and clinical samples.

OBJECTIVE: The potential association between rheumatoid arthritis (RA) and cervical cancer risk is s...

An Explainable Multimodal Artificial Intelligence Model Integrating Histopathological Microenvironment and EHR Phenotypes for Germline Genetic Testing in Breast Cancer.

Genetic testing for pathogenic germline variants is critical for the personalized management of high...

CervicalMethDx: a precision DNA methylation test to identify risk of high-grade intraepithelial lesions in cervical cancer screening algorithms.

Cervical cancer is one of the most common cancers in women. Despite progress in prevention and succe...

Brownian motion data augmentation: a method to push neural network performance on nanopore sensors.

MOTIVATION: Nanopores are highly sensitive sensors that have achieved commercial success in DNA/RNA ...

Pathomics in Gastrointestinal Tumors: Research Progress and Clinical Applications.

Gastrointestinal tumors are among the malignancies with the highest global incidence and mortality r...

Editorial: Computational genomic and precision medicine.

Unlocking the potential of flavonoid biosynthesis through integrated metabolic engineering.

Flavonoids are a diverse class of plant polyphenols with essential roles in development, defense, an...

Ecofriendly Extraction of Polyphenols from Leaves Coupled with Response Surface Methodology and Artificial Neural Network-Genetic Algorithm.

This study aimed to optimize a novel deep eutectic solvents (DESs)-assisted extraction process for p...