Sceptre Analysis Of Single Cell Perturbation Screens Via Conditional

Sceptre Analysis Of Single Cell Perturbation Screens Via Conditional We propose sceptre: analysis of single cell perturbation screens via conditional resampling, which infers associations between perturbations and expression by resampling the former according to a working model for perturbation detection probability in each cell. sceptre demonstrates very good calibration and sensitivity on crispr screen data. Sceptre: analysis of single cell perturbation screens via conditional resampling. to address the challenges identified above, we propose sceptre, a methodology for single cell crispr screen analysis based on the simple and powerful conditional randomization test (fig. 2). to test the association between a given grna and gene, we first fit the.

Sceptre Analysis Of Single Cell Perturbation Screens Via Conditional In this paper, we propose sceptre (analysis of single cell perturbation screens via conditional resampling), a novel methodology addressing the aforementioned challenges. the key idea is to sidestep the issues of modeling single cell gene expression by modeling the stochastic assortment of grnas among cells instead. To address these challenges, we propose sceptre: analysis of single cell perturbation screens via conditional re sampling. this methodology, designed to avoid calibration issues due to technical confounders and expression model misspecification, infers associations between perturbations and expression by resampling the former according to a. To address these challenges, we propose sceptre (analysis of single cell pertur bation screens via conditional resampling; pronounced “scepter”). sceptre is based on the conditional randomization test13, a powerful and intuitive statistical methodology that, like parametric methods, enables simple confounder adjusment, and like nonparametric. We propose sceptre: analysis of single cell perturbation screens via conditional resampling, which infers associations between perturbations and expression by resampling the former according to a.

Pdf Sceptre Improves Calibration And Sensitivity In Single Cell To address these challenges, we propose sceptre (analysis of single cell pertur bation screens via conditional resampling; pronounced “scepter”). sceptre is based on the conditional randomization test13, a powerful and intuitive statistical methodology that, like parametric methods, enables simple confounder adjusment, and like nonparametric. We propose sceptre: analysis of single cell perturbation screens via conditional resampling, which infers associations between perturbations and expression by resampling the former according to a. We concluded that parametric count models likely are challenging to calibrate to high moi single cell crispr screen data. sceptre: analysis of single cell perturbation screens via conditional resampling to address the challenges identified above, we propose sceptre, a methodology for single cell crispr screen analysis based on the simple and. By using the site you are agreeing to this as outlined in our privacy notice and cookie policy. abstract read article for free, via unpaywall (a legal, open copy of the full text).