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Plos Computational Biology|January 5, 2024
Landscape quantifies the intermediate state and transition dynamics in ecological networksJinchao Lv, Jin Wang, Chunhe LiPlos Computational Biology|August 13, 2013
Quantifying cell fate decisions for differentiation and reprogramming of a human stem cell network: landscape and biological pathsChunhe Li, Jin WangCancer Research|May 15, 2015
Quantifying the Landscape for Development and Cancer from a Core Cancer Stem Cell CircuitChunhe Li, Jin WangProceedings of the National Academy of Sciences of the United States of America|September 18, 2014
Landscape and flux reveal a new global view and physical quantification of mammalian cell cycleChunhe Li, Jin WangJournal of the Royal Society, Interface|September 19, 2014
Quantifying the underlying landscape and paths of cancerChunhe Li, Jin WangJournal of the Royal Society, Interface|October 18, 2013
Quantifying Waddington landscapes and paths of non-adiabatic cell fate decisions for differentiation, reprogramming and transdifferentiationChunhe Li, Jin WangPlos One|March 23, 2011
Potential landscape and probabilistic flux of a predator prey networkChunhe Li, Erkang Wang, Jin WangACS Synthetic Biology|May 9, 2013
Landscape topography determines global stability and robustness of a metabolic networkChunhe Li, Erkang Wang, Jin WangBiophysical Journal|September 28, 2011
Landscape, flux, correlation, resonance, coherence, stability, and key network wirings of stochastic circadian oscillationChunhe Li, Erkang Wang, Jin WangProceedings of the National Academy of Sciences of the United States of America|April 16, 2010
Potential and flux landscapes quantify the stability and robustness of budding yeast cell cycle networkJin Wang, Chunhe Li, Erkang WangPageof 778