Application of multivariate statistical methods and machine learning to the analysis of high-throughput data arising from genomic, transcriptomic and proteomic studies of cancer, with a particular focus on meta analysis and integration of microarray data from multiple studies, to further our understanding of
- molecular heterogeneity of tumor subtypes
- cancer microenvironment
in breast and ovarian cancer.
