Latest AI and machine learning research in genetics for healthcare professionals.
The emergence of large-scale biobanks has opened unprecedented opportunities for the development of ...
Non-coding regulatory regions are essential to the determination of gene expression and plant phenot...
Spatial transcriptomics (ST) is a powerful tool for studying the molecular basis of brain diseases. ...
Context-specific protein-protein interaction (PPI) drive heterogeneity of primary tumor, forming a f...
RNA design has emerged to play a crucial role in synthetic biology and therapeutics. Although tertia...
Bacteriophages offer promising alternatives to antibiotics for treating drug-resistant infections an...
Polymerase Chain Reaction (PCR) is a widely used molecular biology technique to amplify DNA sequence...
Antibodies play a crucial role in adaptive immunity. They develop as B cell receptors (BCRs): membra...
Genomic selection (GS), which integrates genomic markers with phenotypic data, has emerged as a powe...
High-throughput RNA-sequencing has significantly advanced transcriptomic profiling in on-cology. Mil...
Gene sets are collections of genes that share a common biological function, process, or component th...
Capturing rapid changes in gene-expression across development time is crucial for uncovering the mol...
Genomic functions arise from nucleotide sequences and their overlapping k-mers – subsequences whose ...
Deep neural networks can be trained to predict gene expression directly from genomic sequence, there...
Spatial transcriptomics (ST) technologies provide spatially resolved gene expression along with imag...
Deep neural networks (DNNs) have advanced predictive modeling for regulatory genomics, but challenge...
RNA interactions with proteins, other RNA molecules, and DNA play essential roles in numerous cellul...
Autosomal Dominant Polycystic Kidney Disease (ADPKD) is a genetic disorder characterized by the deve...
Immune checkpoint blockade has emerged as a promising form of cancer therapy. However, only some pat...
The quantification of the precise copy number variations (CNVs) is crucial to understanding the effe...
Previously, we proposed a double-point mutation (DPM) strategy involving the simultaneous substituti...