Abstract: A data structure relating to a sample of cells is described. The data structure includes first data elements each representing one of a number of first-degree nodes. Each of the first-degree nodes corresponds to a different one of a number of cellular constituents. Each first data element includes a quantitative indication of the portion of cells of the sample in which the constituent has positive expression. The data structure also includes second data elements each representing one of a number of greater-than-first-degree nodes, which each correspond to a different subset of the constituents of size two or more. Each second data element includes a quantitative indication of the portion of cells of the sample in which the subset of constituents all have positive expression. The contents of the data structure are usable to generate a visual co-expression graph characterizing the sample.

Abstract: In one embodiment, one or more processor-readable media storing code representing instructions that when executed by one or more processors cause the one or more processors to receive a set of parameter values defining a boundary within a data space associated with a dataset. The dataset can represent signaling related to a test substance. A first metric can be defined based on a first portion of the dataset associated with a first region defined by the boundary. A second metric can be defined based on a second portion of the dataset associated with a second region defined by the boundary after the boundary is modified. The second region can be different than the first region.

Abstract: In one embodiment, one or more processor-readable media storing code representing instructions that when executed by one or more processors cause the one or more processors to receive a set of parameter values defining a boundary within a data space associated with a dataset. The dataset can represent signaling related to a test substance. A first metric can be defined based on a first portion of the dataset associated with a first region defined by the boundary. A second metric can be defined based on a second portion of the dataset associated with a second region defined by the boundary after the boundary is modified. The second region can be different than the first region.