Latest AI and machine learning research in genetics for healthcare professionals.
Understanding the pathogenesis of amyloid-{beta} pathology in Alzheimer's Disease (AD) proves to be ...
Genomic prediction (GP) across diverse environments has a potential to accelerate genetic gain in co...
The emergence of unidentified pathogens, or "Disease X," poses a significant threat to global health...
Background: Triple-negative breast cancer (TNBC) exhibits substantial molecular heterogeneity and la...
Inferring tumor molecular phenotypes from high-dimensional multi-omic data is a fundamental challeng...
Cellular reprogramming is a complex interplay between perturbations and regulatory elements, culmina...
Although the Gene Expression Omnibus and other public repositories are expanding rapidly, curation a...
Accurate gene annotation is crucial for inference of biological knowledge from genomes. However, non...
Early ovarian development establishes the cellular basis of female reproduction, yet its cellular co...
Staphylococcus aureus produces a broad range of enterotoxins that act as superantigens, disrupting h...
Disease is a heterogeneous process that involves multiple organs and cell types. Understanding how g...
Assays coupling high-throughput lineage tracing with single-cell transcriptomics are transforming st...
High-quality datasets that span broad sequence diversity are essential for understanding protein seq...
Designing drugs that can restore a diseased cell to its healthy state is an emerging approach in sys...
While linear-complexity attention mechanisms offer a promising alternative to Softmax attention for ...
Learning causal gene regulatory mechanisms from single-cell data, and thereby predicting the effects...
Accurate RNA secondary-structure prediction remains difficult despite decades of thermodynamics-base...
Multicellular organisms comprise various types of cells, which are characterized by gene expression ...
Transformer models enable functionally meaningful representation of complex biological data, such as...
Antiphospholipid syndrome (APS) lacks targeted therapies beyond anticoagulation, and its molecular h...
Machine learning is increasingly used to guide protein engineering by predicting how mutations affec...