Network pharmacology: curing causal mechanisms instead of treating symptoms
For complex diseases, most drugs are highly ineffective, and the success rate of drug
discovery is in constant decline. While low quality, reproducibility issues, and translational …
discovery is in constant decline. While low quality, reproducibility issues, and translational …
Dynamic versus static biomarkers in cancer immune checkpoint blockade: unravelling complexity
Recently, there has been a coordinated effort from academic institutions and the
pharmaceutical industry to identify biomarkers that can predict responses to immune …
pharmaceutical industry to identify biomarkers that can predict responses to immune …
A Single‐Molecule Bioelectronic Portable Array for Early Diagnosis of Pancreatic Cancer Precursors
A cohort of 47 patients is screened for pancreatic cancer precursors with a portable 96‐well
bioelectronic sensing‐array for single‐molecule assay in cysts fluid and blood plasma …
bioelectronic sensing‐array for single‐molecule assay in cysts fluid and blood plasma …
Equipment-free and visual detection of multiple biomarkers via an aggregation induced emission luminogen-based paper biosensor
H Li, H Lin, W Lv, P Gai, F Li - Biosensors and Bioelectronics, 2020 - Elsevier
Early and accurate disease diagnosis is of great appeal for saving patients' life, but requires
biomarkers to be sensitively detected with simplicity, convenience, and low cost. Exploring …
biomarkers to be sensitively detected with simplicity, convenience, and low cost. Exploring …
Personalized characterization of diseases using sample-specific networks
A complex disease generally results not from malfunction of individual molecules but from
dysfunction of the relevant system or network, which dynamically changes with time and …
dysfunction of the relevant system or network, which dynamically changes with time and …
Dynamic network biomarker indicates pulmonary metastasis at the tipping point of hepatocellular carcinoma
Developing predictive biomarkers that can detect the tipping point before metastasis of
hepatocellular carcinoma (HCC), is critical to prevent further irreversible deterioration. To …
hepatocellular carcinoma (HCC), is critical to prevent further irreversible deterioration. To …
Large-scale automatic feature selection for biomarker discovery in high-dimensional OMICs data
M Leclercq, B Vittrant, ML Martin-Magniette… - Frontiers in …, 2019 - frontiersin.org
The identification of biomarker signatures in omics molecular profiling is usually performed
to predict outcomes in a precision medicine context, such as patient disease susceptibility …
to predict outcomes in a precision medicine context, such as patient disease susceptibility …
Inference of gene regulatory network based on local Bayesian networks
F Liu, SW Zhang, WF Guo, ZG Wei… - PLoS computational …, 2016 - journals.plos.org
The inference of gene regulatory networks (GRNs) from expression data can mine the direct
regulations among genes and gain deep insights into biological processes at a network …
regulations among genes and gain deep insights into biological processes at a network …
Robustness and lethality in multilayer biological molecular networks
Robustness is a prominent feature of most biological systems. Most previous related studies
have been focused on homogeneous molecular networks. Here we propose a …
have been focused on homogeneous molecular networks. Here we propose a …
Comprehensive metabolic profiling and genome-wide analysis reveal therapeutic modalities for hepatocellular carcinoma
F Qi, J Li, Z Qi, J Zhang, B Zhou, B Yang, W Qin, W Cui… - Research, 2023 - spj.science.org
Understanding the details of metabolic reprogramming in hepatocellular carcinoma (HCC) is
critical to improve stratification for therapy. Both multiomics analysis and cross-cohort …
critical to improve stratification for therapy. Both multiomics analysis and cross-cohort …