Researchers from Genentech and Stanford University Develop an Iterative Perturb-seq Procedure Leveraging Machine Learning for Efficient Design of Perturbation Experiments

Basic information about gene and cell function is revealed by the expression response of a cell to a genetic disturbance. Using a readout of the expression response to a perturbation using single-cell RNA seq (scRNA-seq), perturb-seq is a new method for pooled genetic screens. Perturb-seq allows for the engineering of cells to a certain state, […]

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