Latest AI and machine learning research in genetics for healthcare professionals.
BACKGROUND: Detection of gene-gene interaction (GGI) is a key challenge towards solving the problem ...
Salmonella-contaminated foods, especially poultry-derived foods (eggs, chicken meat), are the major ...
We present GuideScan software for the design of CRISPR guide RNA libraries that can be used to edit ...
Diabetic nephropathy (DN) is the leading cause of endstage renal disease (ESRD) in developed countri...
Branchio-oto-renal (BOR) syndrome is an autosomal dominant disorder characterized by the coexistence...
The ability to estimate the age of the donor from recovered biological material at a crime scene can...
BACKGROUND: RNAs play key roles in cells through the interactions with proteins known as the RNA-bin...
BACKGROUND/AIMS: Taste is recognized as an important predictor of food choices. Thus, polymorphisms ...
The biological cause of clinically observed variability of normal tissue damage following radiothera...
Pantoea agglomerans, a widespread epiphytic bacterium, has evolved into a hypersensitive response an...
Modern methods of analysing biological materials, including protein and DNA sequencing, are increasi...
The objective of the study is to assess the predictive performance of three different techniques as ...
The potential for genetic discovery in human DNA sequencing studies is greatly diminished if DNA sam...
Multi-Instance (MI) learning has been proven to be effective for the genome-wide protein function pr...
BACKGROUND: We have identified molecules that exhibit synthetic lethality in cells with loss of the ...
Accurate computational identification of promoters remains a challenge as these key DNA regulatory r...
Gene selection is a demanding task for microarray data analysis. The diverse complexity of different...
Differential evolution (DE) has been applied extensively in drug combination optimization studies in...
In genome-wide association studies (GWAS), the acquired sequential data may exhibit imbalance struct...
BACKGROUND: The recent success of deep learning techniques in machine learning and artificial intell...
Next-generation sequencing technologies (NGST) are being used to discover causal mutations in ethyl ...