Wang Lab

Wang Lab includes a computational lab and an experimental lab. Traditionally Wang Lab was mainly working on computational systems biology, machine learning and AI. Since 2016, Wang Lab has shifted toward conducting both computational and experimental systems biology in cancer and immunology. The computational work includes: (1) big medical data ana... lysis (2) machine learning, deep learning and artificial intelligence (3) AI-based predictive model construction. We are developing novel AI algorithms (machine learning, deep learning) for modeling of molecular networks and cancer biomarker discovery, and also developing new concepts for data analysis towardinterpreting data, generating, prioritizing and testing new hypotheses. The wet-lab work includes: (1) single-cell RNA-seq, single-cell ATAC-seq and single-cell DNA-seq analysis of tumor and immune cells (2) functional genomics such as CRISPR technologies of cancer immunotherapy (3) mouse model studies for cancer immunotherapy. Examples of the computationally driven work: eTumor (electronic tumor) projects for precision medicine A collection of projects which aim to develop algorithms and computational tools(based on thecancer hallmark network framework)for predicting drug targets, metastasis and drug resistance for individual subclones within a tumor based on the tumor's exome-sequencing data.Read More