Meta-analysis of Genomic and Proteomic Features to Predict Synthetic Lethality of Yeast and Human Cancer. - Min Wu 008; Xuejuan Li; Fan Zhang 089; Xiaoli Li 001; Chee Keong Kwoh 001; Jie Zheng 002 (BCB, 2013)

Syn-Lethality: An integrative knowledge base of synthetic lethality towards discovery of selective anticancer therapies. - Xuejuan Li; Shital K. Mishra; Min Wu 008; Fan Zhang 089; Jie Zheng 002 (BIBM, 2013)

Data-driven prediction of cancer cell fates with a nonlinear model of signaling pathways. - Fan Zhang 089; Chee Keong Kwoh 001; Min Wu 008; Jie Zheng 002 (BCB, 2014)

Computational cell fate modelling for discovery of rewiring in apoptotic network for enhanced cancer drug sensitivity. - Shital K. Mishra; Sourav S. Bhowmick; Huey-Eng Chua; Fan Zhang 089; Jie Zheng 002 (BMC Syst. Biol., 2015)

Predicting essential genes and synthetic lethality via influence propagation in signaling pathways of cancer cell fates. - Fan Zhang 089; Min Wu 008; Xuejuan Li; Xiaoli Li 001; Chee Keong Kwoh 001; Jie Zheng 002 (J. Bioinform. Comput. Biol., 2015)

Generalized logical model based on network topology to capture the dynamical trends of cellular signaling pathways. - Fan Zhang 089; Haoting Chen; Li Na Zhao; Hui Liu 026; Teresa M. Przytycka; Jie Zheng 002 (BMC Syst. Biol., 2016)

Sig2GRN: a software tool linking signaling pathway with gene regulatory network for dynamic simulation. - Fan Zhang 089; Runsheng Liu; Jie Zheng 002 (BMC Syst. Biol., 2016)

Computational prediction of cell fates by systems modelling of cellular signalling pathways - Fan Zhang 089 (2016)