[HTML][HTML] Network resilience
Many systems on our planet shift abruptly and irreversibly from the desired state to an
undesired state when forced across a “tipping point”. Some examples are mass extinctions …
undesired state when forced across a “tipping point”. Some examples are mass extinctions …
Dynamical network biomarkers: Theory and applications
This paper reviews theory of DNB (Dynamical Network Biomarkers) and its applications
including both modern medicine and traditional medicine. We show that omics data such as …
including both modern medicine and traditional medicine. We show that omics data such as …
STRING v11: protein–protein association networks with increased coverage, supporting functional discovery in genome-wide experimental datasets
Proteins and their functional interactions form the backbone of the cellular machinery. Their
connectivity network needs to be considered for the full understanding of biological …
connectivity network needs to be considered for the full understanding of biological …
From hype to reality: data science enabling personalized medicine
Abstract Background Personalized, precision, P4, or stratified medicine is understood as a
medical approach in which patients are stratified based on their disease subtype, risk …
medical approach in which patients are stratified based on their disease subtype, risk …
Cell-specific network constructed by single-cell RNA sequencing data
Single-cell RNA sequencing (scRNA-seq) is able to give an insight into the gene–gene
associations or transcriptional networks among cell populations based on the sequencing of …
associations or transcriptional networks among cell populations based on the sequencing of …
The challenges of explainable AI in biomedical data science
H Han, X Liu - BMC bioinformatics, 2022 - Springer
The challenges of explainable AI in biomedical data science | BMC Bioinformatics Skip to main
content SpringerLink Account Menu Find a journal Publish with us Track your research Search …
content SpringerLink Account Menu Find a journal Publish with us Track your research Search …
Detection for disease tipping points by landscape dynamic network biomarkers
ABSTRACT A new model-free method has been developed and termed the landscape
dynamic network biomarker (l-DNB) methodology. The method is based on bifurcation …
dynamic network biomarker (l-DNB) methodology. The method is based on bifurcation …
hiPSCs for predictive modelling of neurodegenerative diseases: dreaming the possible
P Rivetti di Val Cervo, D Besusso, P Conforti… - Nature Reviews …, 2021 - nature.com
Human induced pluripotent stem cells (hiPSCs) were first generated in 2007, but the full
translational potential of this valuable tool has yet to be realized. The potential applications …
translational potential of this valuable tool has yet to be realized. The potential applications …
Cancer biomarker discovery for precision medicine: new progress
J Zou, E Wang - Current medicinal chemistry, 2019 - ingentaconnect.com
Background: Precision medicine puts forward customized healthcare for cancer patients. An
important way to accomplish this task is to stratify patients into those who may respond to a …
important way to accomplish this task is to stratify patients into those who may respond to a …
Identifying the critical state of complex biological systems by the directed-network rank score method
Motivation Catastrophic transitions are ubiquitous in the dynamic progression of complex
biological systems; that is, a critical transition at which complex systems suddenly shift from …
biological systems; that is, a critical transition at which complex systems suddenly shift from …