Latest AI and machine learning research in genetics for healthcare professionals.
Two types of inoculated sludges, granular sludge that had been stored at -20°C and activated sludge,...
N-methyladenosine (mA) is a prevalent RNA methylation modification involved in several biological pr...
During cellular division DNA replicates and this process is the basis for passing genetic informatio...
AIMS: To understand the pathogenesis of cartilage damage in Kashin-Beck disease (KBD) and rheumatoid...
Genome-Wide Association Studies (GWAS) are used to identify statistically significant genetic varian...
We propose an effective machine learning approach to identify group of interacting single nucleotide...
In recent years DNA microarray technology, leading to the generation of high-volume biological data,...
The genetic analysis of complex traits does not escape the current excitement around artificial inte...
The application of gene expression data to the diagnosis and classification of cancer has become a h...
Simulation of the cerebral cortex requires a combination of extensive domain-specific knowledge and ...
Anthelmintic resistance among cyathostomin parasites is a wide-spread problem. The parasite control ...
The identification of transcription factor binding sites (TFBSs) is a problem for which computationa...
Synthetic lethality is the synthesis of mutations leading to cell death. Tumor-specific synthetic le...
Machine learning (ML) is being ubiquitously incorporated into everyday products such as Internet sea...
There are clear benefits from genomics and health data sharing in research and in therapy for indivi...
2'-O-methylation plays an important biological role in gene expression. Owing to the explosive incre...
Osteoarthritis (OA) is one of the most common diseases worldwide, but the pathogenic genes and pathw...
OBJECTIVE:: Genetic phenotype plays a central role in making treatment decisions of lung adenocarcin...
Cell-penetrating peptides (CPPs) facilitate the transport of pharmacologically active molecules, suc...
BACKGROUND: With the developments of DNA sequencing technology, large amounts of sequencing data hav...
Gene expression data using retrieved ovarian cancer (OC) samples were used to identify genes of inte...