Latest AI and machine learning research in genetics for healthcare professionals.
Cancer subtype classification is critical for precision therapy and there is a growing trend of augmenting histopathology testing procedures with omics-based machine learning classifiers. However, analytical challenges remain for pediatric cancer on the scope and precision of the current classifiers as well as the evolving subtype standardization. To address these challenges, we built Cancer Ident...
Chromatin is dynamic at all length scales, influencing chromatin-based processes, such as gene expression. Even large-scale reorganization of whole chromosome territories has been reported upon specific signals, but lack of suitable methods has prevented analysis of the underlying dynamic processes. Here we have used CRISPR-Sirius for time-lapse imaging of chromatin loci dynamics during serum star...
Evolution shapes the structure and content of genomes, yet the contribution of local sequence composition to variant selection remains poorly understo...
Inspired by the success of large language models (LLMs) in natural language processing, cell language models (CLMs) have emerged as a promising paradi...
Indigenous Cannabis Sativa populations have adapted to diverse environments, resulting in genetic and phenotypic diversity. Understanding the mechanis...
Accurate cancer subtyping with accompanying molecular characterization is critical for precision oncology. While machine learning approaches have been...
Identifying the set of genes that regulate baseline healthy aging – aging that is not confounded by illness – is critical to understating aging biolog...
Mutation in calcium-binding proteins (CBPs) can significantly influence Ca2+ binding affinity (BA), resulting in substantial impairment in the signali...
Intratumoral heterogeneity, originating from genetic, epigenetic, and phenotypic cellular diversity, is pervasive in cancer. As these heterogeneous st...
Chromatin-associated proteins (CAPs), including over 1,600 transcription factors, bind directly or indirectly to the genomic DNA to regulate gene expr...
The development of personalized cancer vaccines relies heavily on accurately identifying neoepitopes capable of eliciting strong immune responses. T c...
DNA methylation is a type of epigenetic modification that plays a significant role in development, aging, and disease. Despite extensive research into...
Chimeric antigen receptor (CAR) T cell therapy holds transformative potential for hematologic malignancies, yet predicting patient-specific treatment ...
Predicting protein stability change upon mutation is critical for protein engineering, yet remains limited by the modeling assumptions of physics-base...
Public genomic databases are crucial to precision medicine but often lack representation from Arab populations, which have distinct genetic structures...
Missense variants in the STXBP1 gene are a frequent cause of early-onset developmental and epileptic encephalopathies and related neurodevelopmental d...
Proteins, RNA, and DNA are central to virtually all cellular processes, often assembling into macro-molecular complexes to perform their functions. Wh...
The monocyte activation test is an in vitro pyrogenicity assessment method that can utilise human peripheral blood mononuclear cells to detect pyrogen...
De novo peptide sequencing enables peptide identification from fragmentation spectra without relying on sequence databases. However, incomplete spectr...
Protein language models, and models that incorporate structure or homologous sequences, estimate sequence likelihoods p(sequence) that reflect the pro...