Latest AI and machine learning research in genetics for healthcare professionals.
This paper discusses a new variant of spiking neural P systems (in short, SNP systems), spiking neur...
The characterization of the microbial population of many niches of the organism, as the gastrointest...
BACKGROUND: Next Generation Sequencing (NGS) technologies have revolutionized genomics data research...
Gain-of-function mutations in human androgen receptor (AR) are among the major causes of drug resist...
Genetic studies have recently highlighted the importance of fat distribution, as well as overall adi...
DNA methylation change has been useful for cancer biomarker discovery, classification, and potential...
Large-scale, sometimes nationwide, prospective genomic cohorts biobanking rich biological specimens ...
The conventional image segmentation techniques have a lot of issues with highest computational cost ...
BACKGROUND: As the need for sharing genomic data grows, privacy issues and concerns, such as the eth...
Carcinoma of unknown primary (CUP), defined as metastatic cancers with unknown cancer origin, occurs...
Transcription factors (TFs) regulate the gene expression of their target genes by binding to the reg...
With the development of society, more and more attention has been paid to cultural festivals. In add...
The ability to read and quantify nucleic acids such as DNA and RNA using sequencing technologies has...
Breast and ovarian cancers are the second and the fifth leading causes of cancer death among women. ...
Deep learning has proven to be a powerful method with applications in various fields including image...
With the high prevalence of breast cancer, it is urgent to find out the intrinsic difference between...
Deep learning methods for digital pathology analysis are an effective way to address multiple clinic...
BACKGROUND: Deep learning has emerged as a versatile approach for predicting complex biological phen...
Epilepsy is a chronic disease caused by sudden abnormal discharge of brain neurons, causing transien...
Promoter recognition is an important part of functional genomic annotation but a difficult problem. ...
Imaging technology and machine learning algorithms for disease classification set the stage for high...