Fig. 1: Compressed screening with high-fidelity model systems and high-content assays.
From: Scalable, compressed phenotypic screening using pooled perturbations
a, Conceptual visualization of how assay and biological model complexity may limit the scalability of conventional screens and how this boundary may be shifted by compressed screening. b, In compressed screening, a set of N perturbations is combined into pools of size P with each drug replicated R times across all pools. Pooling so as to ensure specific perturbations are not repeatedly paired enables the use of linear deconvolution to identify the effects of each. Overall, this reduces the number of samples, S, required to conduct a conventional phenotypic screen (\({S}_{{\rm{conventional}}}=N\times R\)) by a factor of P (\({S}_{{\rm{compressed}}}=\frac{N\times R}{P}\)). The example illustrates these ideas for N = 8, R = 4 and P = 4. c, Visualization of the construction of a CS with an acoustic liquid handler. d, Regression framework for inferring the effects of individual perturbations in a CS: we solve for the coefficient matrix (β) that describes the effect of perturbations (whose assignment to pools is denoted in the design matrix X) on the measured features of the screen (matrix Y).
