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Iscience|May 7, 2024
Revealing neural dynamical structure of C. elegans with deep learningRuisong Zhou, Yuguo Yu, Chunhe LiSTAR Protocols|June 28, 2025
Protocol to quantify energy landscape of high-dimensional oscillatory systems using diffusion decompositionShirui Bian, Ruisong Zhou, Wei Lin, et al.Physical Chemistry Chemical Physics : PCCP|March 4, 2017
Identifying the optimal anticancer targets from the landscape of a cancer-immunity interaction networkChunhe LiIntegrative Biology : Quantitative Biosciences From Nano to Macro|January 18, 2018
Landscape of gene networks for random parameter perturbationChunhe LiPhysical Chemistry Chemical Physics : PCCP|April 22, 2017
Correction: Identifying the optimal anticancer targets from the landscape of a cancer-immunity interaction networkChunhe LiCancer Research|May 15, 2015
Quantifying the Landscape for Development and Cancer from a Core Cancer Stem Cell CircuitChunhe Li, Jin WangNAR Genomics and Bioinformatics|September 16, 2022
Inferring structural and dynamical properties of gene networks from data with deep learningFeng Chen, Chunhe LiProceedings 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 WangBioinformatics (Oxford, England)|November 3, 2025
Reconstructing gene network structure and dynamics from single cell dataFeng Chen, Chunhe LiNPJ Systems Biology and Applications|March 8, 2024
Data-driven energy landscape reveals critical genes in cancer progressionJuntan Liu, Chunhe LiPageof 15