Latest AI and machine learning research in genetics for healthcare professionals.
Breast cancer (BRCA) continues to pose a serious risk to women's health worldwide. Neoadjuvant chemo...
Non-invasive diagnostic monitoring techniques have become essential for treating lung cancer (LC), w...
Schizophrenia (SZ) and bipolar disorder (BD) pose diagnostic challenges due to overlapping clinical ...
BACKGROUND: Arrhythmogenic right ventricular cardiomyopathy (ARVC) presents diagnostic challenges an...
Psychrophilic (cold-active) organisms have developed enzymes that facilitate sufficient metabolic ac...
Anti-cytomegalovirus (CMV) serological testing, including the IgG avidity index (AI), is used to ass...
Using millions of methylation segments, we developed DiffuCpG, a generative artificial intelligence ...
Cancer drug resistance poses a significant challenge in oncology, primarily driven by cancer cell pl...
Viral codon fitness (VCF) of the host and the VCF shifting has seldom been studied under quantitativ...
This study evaluates the concordance between RNA sequencing (RNA-Seq) and NanoString technologies fo...
BACKGROUND: The bile acid metabolism (BAM) and fatty acid metabolism (FAM) have been implicated in K...
Ovarian cancer (OV) remains the most lethal gynecological malignancy. The aim of this study was to i...
Epidermal growth factor receptor (EGFR) is a potential target for anticancer therapies and plays a c...
Equine strongylids are ubiquitous and can cause severe health issues. Anthelmintic resistance is wid...
BACKGROUND: A significant challenge in precision medicine is confidently identifying mutations detec...
An enhancer is a specific DNA sequence typically located within a gene at upstream or downstream pos...
The identification of chemical compounds regulating plant growth in a genetic context can greatly en...
Using transcriptomic profiling at single-cell resolution, we investigated cell-intrinsic and cell-ex...
Gene expression is the basis for cells to achieve various functions, while DNA methylation constitut...
Subtractive genomics is an adaptable bioinformatics technique that is used to identify potential the...
The combined analysis of dual diseases can provide new insights into pathogenic mechanisms, identify...