Latest AI and machine learning research in genetics for healthcare professionals.
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 ...
Hypertrophic cardiomyopathy (HCM) is defined by pathological left ventricular hypertrophy (LVH). It ...
We report a self-consistent method to translate amino acid sequences into audible sound, use the rep...
Genetic polymorphisms are mostly associated with inherited diseases, detecting and analyzing the bio...
Knowledge discovery and information extraction of large and complex datasets has attracted great att...
BACKGROUND: Basecalling, the computational process of translating raw electrical signal to nucleotid...