Y
Yang Cong
Researcher at University of Hong Kong
Publications - 16
Citations - 931
Yang Cong is an academic researcher from University of Hong Kong. The author has contributed to research in topics: Metabolic network & Boolean network. The author has an hindex of 5, co-authored 16 publications receiving 763 citations. Previous affiliations of Yang Cong include Dalian University of Technology & Houston Methodist Hospital.
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Journal ArticleDOI
Breast cancer stem cells transition between epithelial and mesenchymal states reflective of their normal counterparts
Suling Liu,Yang Cong,Dong Wang,Yu-Min Sun,Lu Deng,Yajing Liu,Rachel Martin-Trevino,Li Shang,Sean P. McDermott,Melissa D. Landis,Su-Hyung Hong,April Adams,Rosemarie C. D'Angelo,Christophe Ginestier,Emmanuelle Charafe-Jauffret,Shawn G. Clouthier,Daniel Birnbaum,Stephen T. C. Wong,Ming Zhan,Jenny C. Chang,Max S. Wicha +20 more
TL;DR: It is proposed that the plasticity of BCSCs that allows them to transition between EMT- and MET-like states endows these cells with the capacity for tissue invasion, dissemination, and growth at metastatic sites.
Journal ArticleDOI
HN1L Promotes Triple-Negative Breast Cancer Stem Cells through LEPR-STAT3 Pathway.
Yi Liu,Dong Soon Choi,Jianting Sheng,Joe Ensor,Diana Hwang Liang,Cristian Rodriguez-Aguayo,Amanda Polley,Steve Benz,Olivier Elemento,Akanksha Verma,Yang Cong,Helen Wong,Wei Qian,Zheng Li,Sergio Granados-Principal,Gabriel Lopez-Berestein,Melissa D. Landis,Roberto R. Rosato,Bhuvanesh Dave,Stephen T. C. Wong,Dario Marchetti,Anil K. Sood,Jenny C. Chang +22 more
TL;DR: It is revealed that BCSCs in TNBC depend on the transcription regulator HN1L for the sustained activation of the LEPR-STAT3 pathway, which makes it a potentially important target for both prognosis and BCSC therapy.
Journal ArticleDOI
Construction of Probabilistic Boolean Networks from a Prescribed Transition Probability Matrix: A Maximum Entropy Rate Approach
TL;DR: In this article, a maximum entropy approach was proposed to solve the inverse problem of constructing a PBN from a given transition probability matrix and a given set of BNs, and the convergence rate of the proposed method was investigated.
Proceedings ArticleDOI
A New Optimization Model for the Construction of Markov Chains
Wai-Ki Ching,Yang Cong +1 more
TL;DR: This work proposes to consider maximizing the generalized entropy rate of the Markov chain with a penalty cost as the extra criterion to solve the inverse problem of construction of the transition probability matrix of a Markov chains from a given steady-state probability distribution.