Latest AI and machine learning research in genetics for healthcare professionals.
Crohn Disease (CD) is a complex genetic disorder for which more than 140 genes have been identified ...
BACKGROUND: Our understanding of polyploid genomes is limited by our inability to definitively assig...
To understand the pathophysiology of complex diseases, including hypertension, diabetes, and autism,...
Nasopharyngeal carcinoma (NPC) is a malignancy with unique clinical biological profiles such as asso...
Microrobotics extends the reach of human-controlled machines to submillimeter dimensions. We introdu...
Sequence based DNA-binding protein (DBP) prediction is a widely studied biological problem. Sliding ...
The etiological underpinnings of many CNS disorders are not well understood. This is likely due to t...
BACKGROUND: Unsupervised machine learning methods (deep learning) have shown their usefulness with n...
Intelligent image-activated cell sorting (iIACS) is a machine-intelligence technology that performs ...
Recent research in machine learning pointed to the core problem of state-of-the-art models which imp...
Ballast water is a vector for global translocation of microorganisms, and should be monitored to pro...
Despite the importance of sperm DNA to human reproduction, currently no method exists to assess indi...
PURPOSE: This study aimed to investigate whether a machine learning-based computed tomography (CT) t...
OBJECTIVES: Extracting genetic information from a full range of sequencing data is important for und...
BACKGROUND: In spite of the abundance of genomic data, predictive models that describe phenotypes as...
Microbial communities are ubiquitous and often influence macroscopic properties of the ecosystems th...
BACKGROUND AND OBJECTIVE: Over the last two decades, DNA microarray technology has emerged as a powe...
Drug-induced liver injury (DILI), one of the most common adverse effects, leads to drug development ...
Cell state-specific promoters constitute essential tools for basic research and biotechnology becaus...
A central challenge in human genomics is to understand the cellular, evolutionary, and clinical sign...
Emerging RNA-based approaches to disease detection and gene therapy require RNA sequences that fold ...