Latest AI and machine learning research in genetics for healthcare professionals.
Agent-based approaches have been known to be appropriate as systems and methods in medical administr...
Recent large-scale genome-wide association studies have identified common genetic variations that ma...
The study aims were to develop fracture prediction models by using machine learning approaches and g...
The CRISPR-Cas are adaptive bacterial and archaeal immunity systems that have been harnessed for the...
Locomotion of earthworm-like metameric robots results from shape changes of deformable segments. Mor...
For patients with locally advanced rectal cancer (LARC), achieving a pathological complete response ...
Allele specific antibody response against the polymorphic system of HLA is the allogeneic response m...
We use deep transfer learning to quantify histopathological patterns across 17,355 hematoxylin and e...
Molecular alterations in cancer can cause phenotypic changes in tumor cells and their micro-environm...
The knowledge of DNA-binding proteins would help to understand the functions of proteins better in c...
Previous studies have documented that cumulus granulosa cells (GCs) can trans-differentiation into ...
For the past decades, simulation-based likelihood-free inference methods have enabled researchers to...
Cancer is driven by genomic alterations, but the processes causing this disease are largely performe...
Based on the feature and communication of neurons in animal neural systems, spiking neural P systems...
With advances in sequencing technology, a vast amount of genomic sequence information has become ava...
Many expression quantitative trait loci (eQTL) studies have been conducted to investigate the biolog...
Splice site prediction is crucial for understanding underlying gene regulation, gene function for be...
N4-methylcytosine as one kind of modification of DNA has a critical role which alters genetic perfor...
BACKGROUND: Radiogenomics is an emerging field that integrates "Radiomics" and "Genomics". In the cu...
We present Augur, a method to prioritize the cell types most responsive to biological perturbations ...
Machine learning algorithms trained to predict the regulatory activity of nucleic acid sequences hav...