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. ...
The purpose is to study the performance compensation of the bid purchased during the mergers and acq...
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...
Automated detection of complex animal behaviors remains a challenging problem in neuroscience, parti...
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...
Deep learning can detect microsatellite instability (MSI) from routine histology images in colorecta...
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...
BACKGROUND: Despite the importance of stroke volume readings in understanding the work of the cardio...
MicroRNAs (miRNAs) play important roles in post-transcriptional gene regulation and phenotype develo...
Deep learning algorithms have been utilized to achieve enhanced performance in pattern-recognition t...
Celiac disease (CeD) is a common autoimmune disorder caused by an abnormal immune response to dietar...
Approximately 15% of human cancers are estimated to be attributed to viruses. Virus sequences can be...
Elucidating functionality in non-coding regions is a key challenge in human genomics. It has been sh...
ATAC-seq is a widely-applied assay used to measure genome-wide chromatin accessibility; however, its...
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. ...