Latest AI and machine learning research in genetics for healthcare professionals.
The pathogenesis of diabetic cardiomyopathy (DCM) remains incompletely understood. The present study...
Rickettsia is a genus of bacteria that are obligate intracellular parasites and are responsible for ...
Real-world graphs are typically complex, exhibiting heterogeneity in the global structure, as well a...
BACKGROUND: 16S rRNA amplicon sequencing is a widely used method for microbiome composition analysis...
Breast cancer is the leading cause of cancer-related mortality among women worldwide. The developmen...
: The predictive value of muscle-related indicators in triple-negative breast cancer (TNBC) patients...
Extrachromosomal circular DNA (eccDNA) has emerged as a dynamic and versatile genomic element with k...
The precise prediction of transcription factor binding sites (TFBSs) is crucial in understanding gen...
Despite a significant burden of neurobehavioral and psychiatric comorbidities in children with Down ...
Clear cell renal carcinoma (ccRCC) is the most prevalent and aggressive subtype of kidney cancer. Ta...
INTRODUCTION: Breast cancer is the most prevalent cancer among women, with growing incidence and mor...
The role of artificial intelligence (AI) in cancer drug discovery and development has garnered signi...
Highly sensitive detection and in situ tracing analysis of small-molecule biomarkers are particularl...
Long non-coding RNAs (lncRNAs) are receiving increasing attention as biomarkers for cancer diagnosis...
Glioblastoma multiforme, one of the most malignant types of brain tumor, heavily relies on glycolyti...
The association between obesity and cancer risk carries substantial public health ramifications as o...
Genome-wide association studies (GWAS) have identified numerous common genetic variants associated w...
Non-small cell lung cancer (NSCLC) constitutes over 80% of lung cancer cases and remains a leading c...
Biallelic inactivating variants in ZNF142 underlie a clinically variable neurodevelopmental disorder...
Fragmentomics features of cell-free DNA represent promising non-invasive biomarkers for cancer diagn...
Ontologies are structured frameworks for representing knowledge by systematically defining concepts,...