Title: Integrative modeling based on fuzzy set of multiomics data
Authors: Hyeyoung Jung - Seoul National University (Korea, South) [presenting]
Abstract: An integrative model of multiomics data is proposed to classify cancer. The proposed model uses fuzzy logic to integrate multiple types of molecular data with biological rules. An example using breast cancer subtypes illustrates the applicability of the proposed integrative modeling.