Latest AI and machine learning research in genetics for healthcare professionals.
Seasonal influenza viruses are constantly changing and produce a different set of circulating strain...
The aging process results in multiple traceable footprints, which can be quantified and used to esti...
In this editorial, we briefly summarized the International Conference on Intelligent Biology and Med...
BACKGROUND: Machine learning is a sub-field of artificial intelligence, which utilises large data se...
A conformal predictive system(CPS) is based on the learning framework of conformal prediction, which...
The widespread applications of high-throughput sequencing technology have produced a large number of...
Sepsis is defined as dysregulated host response caused by systemic infection, leading to organ failu...
'COLD' TECHNOLOGIES AND 'WARM' HANDS-ON MEDICINE NEED TO WALK HAND-IN-HAND: Technologies, such as de...
Gene expression analysis plays a significant role for providing molecular insights in cancer. Variou...
Convolutional neural network (CNN) models have recently demonstrated impressive performance in medic...
Prediction of DNA-binding proteins (DBPs) has become a popular research topic in protein science due...
Recently, the prospect of applying machine learning tools for automating the process of annotation a...
Non-coding variants have been shown to be related to disease by alteration of 3D genome structures. ...
Tuberculosis (TB), an infectious disease caused by Mycobacterium tuberculosis (M.tb), causes highest...
Precision medicine in oncology aims at obtaining data from heterogeneous sources to have a precise e...
The high density, large capacity, and long-term stability of DNA molecules make them an emerging sto...
OBJECTIVES: To assess the diagnostic accuracy of machine learning (ML) in predicting isocitrate dehy...
There is increasing interest in developing diagnostics that discriminate individual mutagenic mechan...
BACKGROUND: DNA methylation (DNAm) is an epigenetic regulator of gene expression programs that can b...
This paper proposes a new variant of spiking neural P systems (in short, SNP systems), nonlinear spi...
Unsupervised machine learning that can discover novel knowledge from big sequence data without prior...