Latest AI and machine learning research in genetics for healthcare professionals.
A real-time fault diagnosis method utilizing an adaptive genetic algorithm to optimize a back propag...
A growing body of evidence currently proposes that deep learning approaches can serve as an essentia...
DNA is subject to epigenetic modification by the molecule N4-methylcytosine (4mC). N4-methylcytosine...
RNA molecules participate in many important biological processes, and they need to fold into well-de...
Accurate detection of N6-methyladenine (6mA) sites by biochemical experiments will help to reveal th...
Cell-free methylated DNA immunoprecipitation and high-throughput sequencing (cfMeDIP-seq) is a new b...
DNA-binding proteins (DBPs) perform an influential role in diverse biological activities like DNA re...
Morphological profiling is a combination of established optical microscopes and cutting-edge machine...
The Cancer Genome Atlas (TCGA) is one of the largest biorepositories of digital histology. Deep lear...
A primary challenge in understanding disease biology from genome-wide association studies (GWAS) ari...
Drug responses in cancer are diverse due to heterogenous genomic profiles. Drug responsiveness predi...
Targeted high-throughput DNA sequencing is a primary approach for genomics and molecular diagnostics...
Our study aims to improve the signal-to-noise ratio of positron emission tomography (PET) imaging us...
In the 21 century, with the increasingly urgent requirements for lightweight in the fields of aviati...
Epithelial and stromal tissues are components of the tumor microenvironment and play a major role in...
In a general computational context for biomedical data analysis, DNA sequence classification is a cr...
Data-driven strategies are gaining increased attention in protein engineering due to recent advances...
Breast cancer is one of the leading causes of mortality globally, but early diagnosis and treatment ...
OBJECTIVES: Alzheimer's disease (AD) is the most prevalent neurodegenerative disorder and the most c...
Over the past years, large consortia have been established to fuel the sequencing of whole genomes o...
The traditional IPv6 routing algorithm has problems such as network congestion, excessive energy con...