Latest AI and machine learning research in genetics for healthcare professionals.
Many different types of generative models for protein sequences have been proposed in literature. Th...
The high-dimensional character of most biological systems presents genuine challenges for modeling a...
This study proposes a new intelligent diagnostic method for bearing faults in rotating machinery. Th...
The sine cosine algorithm (SCA) was proposed for solving optimization tasks, of which the way to obt...
Codon optimization of a DNA sequence can significantly increase efficiency of protein expression, re...
The rapid increase of metabolomics has led to an increasing focus on metabolic pathway modeling and ...
Diffuse large B cell lymphoma (DLBCL) is an aggressive heterogeneous disease. The most common subtyp...
COVID-19 has remained a threat to world life despite a recent reduction in cases. There is still a p...
Optimization of gene expression levels is an essential part of the organism design process. Fine con...
Accurate and efficient detection of copy number variants (CNVs) is of critical importance owing to t...
Identifying biomarkers for abdominal aortic aneurysms (AAA) is key to understanding their pathogenes...
CNNs with strong learning abilities are widely chosen to resolve super-resolution problem. However, ...
MOTIVATION: Continuous emergence of new variants through appearance/accumulation/disappearance of mu...
Application of deep learning methods to transcriptomic data has the potential to enhance the accurac...
This article uses Deep Learning technologies to safeguard DNA sequencing against Bio-Cyber attacks. ...
Karyotyping is an examination that helps in detecting chromosomal abnormalities. Chromosome analysis...
The success behind Machine Learning (ML) methods has largely been attributed to the quality and quan...
DNA copy number variation (CNV) is the type of DNA variation which is associated with various human ...
Transcription factors directly bind to DNA and regulate the expression of the gene, causing epigenet...
Scanning transmission electron microscopy (STEM) is an indispensable tool for atomic-resolution stru...
In order to solve the inverse kinematics (IK) of complex manipulators efficiently, a hybrid equilibr...