A COHORT EXPLORER FOR VISUALIZING COMPREHENSIVE SAMPLE RELATIONSHIPS THROUGH MULTI-MODAL FEATURE VARIATIONS

摘要

A data-driven integrative visualization system and a method for visualization and exploration of the multi-modal features of a cohort of samples, is disclosed Specifically, a method for providing an interactive computation and visualization front-end of a genomics platform for presenting the complex multiparametric and high dimensional, multi-omic data of a patient with respect to a cohort of samples, that assists the user in understanding the similarities and differences across individual or groups of samples, identify correlation among different features and improve treatment planning and long term patient care, is described. The method may include obtaining and inputting multi-omic data of a patient and/or cohorts, identifying multi-modal feature variations and their relationships, and displaying this information in an interactive circular format on a GUI, from which the user can access further information. The system may provide an improved process of integrative analysis on a patient's multi-omic data for effective treatment planning.