Latest AI and machine learning research in genetics for healthcare professionals.
Genomics is fast becoming a routine tool in medical diagnostics and cutting-edge biotechnologies. Ye...
The genes that are required for organismal survival are annotated as 'essential genes'. Identifying ...
In Japan, the National Cancer Center and university hospitals have initiated next-generation sequenc...
Atopic dermatitis (AD) is a complex multifactorial inflammatory skin disease that affects ~280 milli...
Several circulating biomarkers and single nucleotide polymorphisms (SNPs) have been correlated with ...
BACKGROUND AND AIMS: Combined probiotic and selenium supplementation may improve Alzheimer's disease...
Porcine interferon-α (pIFN-α) could be used as the vaccine adjuvant to enhance the antiviral ability...
Multi-trait and multi-environment data are common in animal and plant breeding programs. However, wh...
Genomic selection is revolutionizing plant breeding and therefore methods that improve prediction ac...
Identifying disease genes from a vast amount of genetic data is one of the most challenging tasks in...
BACKGROUND: Identification of differentially expressed genes, i.e., genes whose transcript abundance...
The CRISPR-Cas9 system derived from adaptive immunity in bacteria and archaea has been developed int...
BACKGROUND: Mutation of the isocitrate dehydrogenase (IDH) gene and co-deletion on chromosome 1p/19q...
We introduce the CDRP (Concatenated Diagnostic-Relapse Prognostic) architecture for multi-task deep ...
We investigated the relationship between metabolic activities of cytochrome P450 (CYP) isozymes pres...
As the cost of DNA sequencing continues to fall, an increasing amount of information on human geneti...
With the advance of next-generation sequencing (NGS) technologies, non-invasive prenatal testing (NI...
The quality of input data in deep learning is tightly associated with the ultimate performance of th...
OBJECTIVE: To aid in the development of a comprehensive list of functional variants in the swine gen...
Quantitative evaluation of binding affinity changes upon mutations is crucial for protein engineerin...
High-throughput methodologies and machine learning have been central in developing systems-level per...