Before revision:  In this paper, we present  a new algorithmic approach to effectively decode and characterize the role of environment on phenotypic traits , from complex phenomic data. To the best of our knowledge, this effort represents the first application of topological data analysis on phenomics data.
After revision:  In this paper, we present a new algorithmic approach to effectively decode and characterize the role of environment on phenotypic traits . We model the problem as one of unsupervised structure discovery, and use emerging principles from algebraic topology and graph theory for discovering higher-order structures of complex phenomics data.