The rapid advancement of spatial and single-cell omics technologies has revolutionized molecular biosciences by enabling high-resolution profiling of gene ...
The advent of single-cell omics technologies has revolutionized our understanding of the complex cellular landscape in cancer. Traditional bulk sequencing ...
The scSurv is a method that deconvolutes bulk RNA-seq data into individual single cells using scRNA-seq data and performs survival analysis with an extended Cox proportional hazards model. This ...
In this webinar, Zivjena Vucetic will discuss how single-cell sequencing improves measurable residual disease detection (MRD) ...
Billion dollar-backed AI drug developer, Xaira Therapeutics, has recently released the largest virtual cell model to-date to predict how cells respond to genetic perturbations in unseen biological ...
Researchers from King's College London and the University of Surrey have developed a new technique to measure the content of individual human cells infected with bacteria that model tuberculosis—and ...
Single cell gene expression studies often rely on single-cell RNA sequencing (scRNA-seq) alone. While scRNA-seq reveals which genes are turned on, it does not capture protein expression or changes to ...
State-of-the-art AI model accurately predicting unseen biological experiments X-Cell is trained on X-Atlas/Pisces, the largest and most context-diverse genome-wide perturbation dataset ever reported ...
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