Latest AI and machine learning research in genetics for healthcare professionals.
Functional genomics networks are widely used to identify unexpected pathway relationships in large g...
Methods based on microarrays (MA), mass spectrometry (MS), and machine learning (ML) algorithms have...
Predicting the protein-protein interactions (PPIs) has played an important role in many applications...
Asthma is a common, under-diagnosed disease affecting all ages. We sought to identify a nasal brush-...
In the era of precision medicine, cancer therapy can be tailored to an individual patient based on t...
GOAL: Automatic segmentation of brainstem gliomas and prediction of genotype (H3 K27M) mutation stat...
The excellent performance of deep neural networks has enabled us to solve several automatization pro...
Implications of plasminogen activator inhibitor-1 (PAI-1) in colonic polyps remain elusive. A prospe...
Genome-wide association studies (GWAS) have successfully discovered a number of disease-associated g...
Environmental sustainability research is dependent on accurate land cover information. Even with the...
BACKGROUND: In the human genome, 98% of DNA sequences are non-protein-coding regions that were previ...
The human genetic diseases associated with many factors, one of these factors is the non-synonymous ...
In synthetic biology, one of the key focuses is building a minimal artificial cell which can provide...
DNA-based nanorobots have been shown to sense and respond to molecular triggers, such as intracellul...
We present a robust deep learning framework for the automatic localisation of cone photoreceptor cel...
A DNA-binding protein (DNA-BP) is a protein that can bind and interact with a DNA. Identification of...
INTRODUCTION: Machine learning methods have been introduced as a computer aided diagnostic tool, wit...
BACKGROUND AND PURPOSE: The World Health Organization has recently placed new emphasis on the integr...
Emerging pathogens are a major threat to public health, however understanding how pathogens adapt to...
Single-molecule experiments and molecular dynamics (MD) simulations are indispensable tools for inve...
Genome scale modeling (GSM) predicts the performance of microbial workhorses and helps identify bene...