Latest AI and machine learning research in genetics for healthcare professionals.
Tolerance to stress conditions is vital for organismal survival, including bacteria under specific e...
Drug response differs substantially in cancer patients due to inter- and intra-tumor heterogeneity. ...
DNA replication is not only the basis of biological inheritance but also the most fundamental proces...
Cancer is a complex disease that deregulates cellular functions at various molecular levels (e.g., D...
The antigenic diversity of influenza A viruses (IAV) circulating in swine challenges the development...
A new web server called PhotoModPlus is presented as a platform for predicting photosynthetic protei...
Deep learning methods hold strong promise for identifying biomarkers for clinical application. Howev...
Aptamers are short oligonucleotides (DNA/RNA) or peptide molecules that can selectively bind to thei...
With the rapid advances of various single-cell technologies, an increasing number of single-cell dat...
Deep learning algorithms have been utilized to achieve enhanced performance in pattern-recognition t...
MicroRNAs (miRNAs) play important roles in post-transcriptional gene regulation and phenotype develo...
Approximately 15% of human cancers are estimated to be attributed to viruses. Virus sequences can be...
ATAC-seq is a widely-applied assay used to measure genome-wide chromatin accessibility; however, its...
Elucidating functionality in non-coding regions is a key challenge in human genomics. It has been sh...
Neural networks based on DNA molecular circuits play an important role in molecular information proc...
Controlling quality of next-generation sequencing (NGS) data files is a necessary but complex task. ...
In recent years, more and more evidence indicates that circular RNAs (circRNAs) with covalently clos...
A computational model with intelligent machine learning for analysis of epidemiological data, is pro...
With the continual improvement of computing hardware and algorithms, simulations have become a power...
We developed and validated a new prognostic model for predicting the overall survival in clear cell ...
Alternative polyadenylation (APA) is a crucial step in post-transcriptional regulation. Previous bio...