Systems and Methods for Generating Insights About Single Cell Data Based on Transformations of Single Cell Data into a Network Model of Related Phenotypes

A system for automated transformation of single call data into one or more insights about the single cell data with respect to one or more phenotypes exhibited by the single cell data, wherein the single cell data comprises data indicative of protein expression levels for a plurality of different protein markers in a plurality of different single cells with respect to a plurality of subjects, and wherein each subject is associated with status data for the defined outcome, the system comprising:

• one or more memories configured to store code;
• one or more processors for cooperation with the one or more memories to execute the code, wherein execution of the code causes the one or more processors to:
• translate the single cell data into a network model of related phenotypes, wherein each phenotype represents a protein marker composition of one or more of the different protein markers from the single cell data, the network model comprising a plurality of nodes that are connected in a network structure, each node corresponding to a different phenotype from among a plurality of the phenotypes and being associated with relationship data for its corresponding phenotype with respect to the defined outcome, and wherein the network structure is derived from relatedness between the protein marker compositions of the nodes' corresponding phenotypes;
• link one or more phenotypes from the network model with one or more medical papers that describe the one or more phenotypes based on a data structure that associates a plurality of medical papers with phenotypes that are described in the medical papers;
• and
• determine one or more insights about the single cell data with respect to one or more phenotypes of interest based on (1) the network structure of the network model, (2) the relationship data, and (3) one or more medical papers that are linked to the one or more phenotypes of interest.

An article of manufacture for automated transformation of single call data into one or more insights about the single cell data with respect to one or more phenotypes exhibited by the single cell data, wherein the single cell data comprises data indicative of protein expression levels for a plurality of different protein markers in a plurality of different single cells with respect to a plurality of subjects, and wherein each subject is associated with status data for the defined outcome, the article of manufacture comprising:

• processor-executable code resident on a non-transitory computer-readable storage medium, wherein the processor-executable code is configured for execution by one or more processors to cause the one or more processors to:
• translate the single cell data into a network model of related phenotypes, wherein each phenotype represents a protein marker composition of one or more of the different protein markers from the single cell data, the network model comprising a plurality of nodes that are connected in a network structure, each node corresponding to a different phenotype from among a plurality of the phenotypes and being associated with relationship data for its corresponding phenotype with respect to the defined outcome, and wherein the network structure is derived from relatedness between the protein marker compositions of the nodes' corresponding phenotypes;
• link one or more phenotypes from the network model with one or more medical papers that describe the one or more phenotypes based on a data structure that associates a plurality of medical papers with phenotypes that are described in the medical papers;
• and
• determine one or more insights about the single cell data with respect to one or more phenotypes of interest based on (1) the network structure of the network model, (2) the relationship data, and (3) one or more medical papers that are linked to the one or more phenotypes of interest.