We are a computational laboratory in the Division of Life Science and Department of Chemical and Biological Engineering at Hong Kong University of Science and Technology (HKUST).
MetaNet: a machine learning method in organotropic metastases to stratify progression risk of primary tumors.
Somatic MAP3K3 mutation Defines a Subclass of Cerebral Cavernous Malformation. Accepted for publication at American Journal of Human Genetics.
Mutational landscape of secondary glioblastoma guides MET-targeted trial in brain tumor
AGGA was offically launched.
Multi-sector genomic data from 52 Glioblastoma patients reveals a multiverse model of cancer evolution.
Longitudinal genomic data from 114 Glioblastoma patients has been used to study GBM evolution under therapy
We have discovered a novel type of noncoding RNA, xTSS RNA, which is expressed at antisense TSS regions of genes that accumulate AID-mediated somatic mutations
ATRAIN pipeline discovered novel long noncoding RNAs that control super-enhancer activity
Computational method TEDG reveals order of somatic mutations in chronic lymphocytic leukemia
A 3D computational model to simulate the multifocal glioblastoma showed the spatiotemporal model of the tumour formation. The tumour cells were coloured by tumour lesions and mutational profiles.
© 2016 The Wang Lab