Methods for identifying treatment targets based on multiomics data

A system for determining a therapeutic intervention for a cancer condition, the system comprising:

• one or more processors configured to execute machine-readable instructions;
• and
• a memory storing the machine-readable instructions, the machine-readable instructions, when executed by the one or more processors, causing the one or more processors to:
• receive a set of disease-relevant bicluster expression data, each disease-relevant bicluster defined by relative expression of a conditionally co-regulated module of genes having (a) high expression for the cancer condition and co-regulated by a regulator selected from one or more transcription factors, one or more miRNAs, or a combination thereof, and (b) conditional up/down regulation associated with a combination of patient survival and a disease hallmark in a set of multiomics data for the cancer condition;
• execute a survival analysis algorithm comparing the relative gene expression versus survival of the set of disease-relevant bicluster expression data so as to generate a gene expression versus patient survival coefficient characterizing whether the regulator is positively or negatively associated with patient survival;
• and
• determine from the regulator and associated gene expression versus patient survival coefficient a therapeutic intervention for the cancer condition.