We initiated an In Silico Center for Brain Tumor Research to investigate the molecular correlates of pathologic, radiologic and clinical features of gliomas using pre-existing databases, including as TCGA and Rembrandt. Using datasets and image analysis algorithms, we study whether elements of the tumor micro-environment, such as tumor necrosis, angiogenesis, inflammatory infiltrates and thrombosis, may correlate with gene expression subtypes in TCGA gliomas. We also have demonstrated the clinical relevance of TCGA subclasses within the lower grade gliomas using the Rembrandt dataset.