Single-cell-based analysis highlights a surge in cell-to-cell molecular variability preceding irreversible commitment in a differentiation process
A Richard, L Boullu, U Herbach, A Bonnafoux… - PLoS …, 2016 - journals.plos.org
In some recent studies, a view emerged that stochastic dynamics governing the switching of
cells from one differentiation state to another could be characterized by a peak in gene …
cells from one differentiation state to another could be characterized by a peak in gene …
[HTML][HTML] Development of a dynamic network biomarkers method and its application for detecting the tip** point of prior disease development
C Han, J Zhong, Q Zhang, J Hu, R Liu, H Liu… - Computational and …, 2022 - Elsevier
The dynamic network biomarker (DNB) method has advanced since it was first proposed.
This review discusses advances in the DNB method that can identify the dynamic change in …
This review discusses advances in the DNB method that can identify the dynamic change in …
Dynamic Network Biomarker of Pre-Exhausted CD8+ T Cells Contributed to T Cell Exhaustion in Colorectal Cancer
J Hu, C Han, J Zhong, H Liu, R Liu, W Luo… - Frontiers in …, 2021 - frontiersin.org
Immunotherapy has achieved positive clinical responses in various cancers. However, in
advanced colorectal cancer (CRC), immunotherapy is challenging because of the …
advanced colorectal cancer (CRC), immunotherapy is challenging because of the …
Multi-omics with dynamic network biomarker algorithm prefigures organ-specific metastasis of lung adenocarcinoma
X Zhang, K ** points in a three-state model of complex diseases by temporal differential networks
Background The progression of complex diseases, such as diabetes and cancer, is
generally a nonlinear process with three stages, ie, normal state, pre-disease state, and …
generally a nonlinear process with three stages, ie, normal state, pre-disease state, and …
Identifying critical states of complex diseases by single-sample Jensen-Shannon divergence
Motivation The evolution of complex diseases can be modeled as a time-dependent
nonlinear dynamic system, and its progression can be divided into three states, ie, the …
nonlinear dynamic system, and its progression can be divided into three states, ie, the …