Microscopy image analyses for disease modeling

A non-transitory computer readable medium comprising instructions that, when executed by a processor, cause the processor to:

• access phenotypic assay data of the cells from one or more exposure response phenotypes (ERPs), wherein cells from an ERP of the one or more ERPs are aligned with a genetic architecture of disease and were exposed to a perturbagen to promote a diseased cellular state;
• encode the phenotypic assay data of the cells from one or more exposure response phenotypes into numerical representations;
• and
• train a plurality of parameters of a machine learning model by analyzing the numerical representations.

A method comprising:

• accessing phenotypic assay data of cells from one or more exposure response phenotypes (ERPs), wherein cells from an ERP of the one or more ERPs are aligned with a genetic architecture of disease and exposed to a perturbagen to promote a diseased cellular state;
• encoding the phenotypic assay data from one or more ERPs into numerical representations;
• and
• training a plurality of parameters of a machine learning model using the numerical representations.