Abstract: Evaluating an effect of one or more perturbations on cells of a first cell type is described. One method includes obtaining a screen definition for a screen, where the screen includes a cell-based assay that is run on a temporarily contiguous basis using a plurality of multi-well plates. The method includes obtaining control vectors including measurements of corresponding features of cells in control wells. The method includes obtaining test vectors including measurements of corresponding features of cells in test wells. The method includes forming a variability model based on a variance across the of control vectors, and embedding test vectors onto the variability model, thereby obtaining a set of variability model values. The method includes using the set of variability model values to resolve an effect of at least one data perturbation in the plurality of data perturbations on the first cell type.

Abstract: Systems and methods for determining whether a set of test perturbations discriminates over a null distribution for an on target effect against a first component of an entity are disclosed. The perturbations are perturbations of the first component and the entity comprises a plurality of components. For each perturbation in the set, a corresponding vector comprising a plurality of elements, is obtained. Each element comprises a distribution metric of measurements of a feature across instances of the entity upon exposure to the respective perturbation or (ii) a distribution metric of a respective dimension reduction component computed using the measurement of the plurality of features across instances of the entity upon the perturbation exposure. A composite metric is computed, using the vectors, and compared to a null distribution.

Abstract: A method for determining whether a set of perturbations discriminates over a null distribution for an on target effect against a first component of an entity is provided. The set of perturbations comprises perturbations of the first component and the entity comprises components including the first component. There is obtained, for each respective perturbation, a corresponding vector, thereby obtaining a plurality of vectors. Each such vector comprises a plurality of elements. Each element comprises (i) a distribution metric of a different feature, in a plurality of features, across a plurality of instances of the entity upon exposure of the plurality of instances of the entity to the respective perturbation or (ii) a distribution metric of a respective dimension reduction component computed using the plurality of features for a plurality of instances of the entity upon exposure of the plurality of instances of the entity to the respective perturbation.

Abstract: Systems and methods for determining whether a set of test perturbations discriminates over a null distribution for an on target effect against a first component of an entity are disclosed. The perturbations are perturbations of the first component and the entity comprises a plurality of components. For each perturbation in the set, a corresponding vector comprising a plurality of elements, is obtained. Each element comprises a distribution metric of measurements of a feature across instances of the entity upon exposure to the respective perturbation or (ii) a distribution metric of a respective dimension reduction component computed using the measurement of the plurality of features across instances of the entity upon the perturbation exposure. A composite metric is computed, using the vectors, and compared to a null distribution.