Network approaches to systems biology analysis of complex disease: integrative methods for multi-omics data
In the past decade, significant progress has been made in complex disease research across
multiple omics layers from genome, transcriptome and proteome to metabolome. There is an …
multiple omics layers from genome, transcriptome and proteome to metabolome. There is an …
Quantitative and logic modelling of molecular and gene networks
N Le Novere - Nature Reviews Genetics, 2015 - nature.com
Behaviours of complex biomolecular systems are often irreducible to the elementary
properties of their individual components. Explanatory and predictive mathematical models …
properties of their individual components. Explanatory and predictive mathematical models …
Systems bioinformatics: increasing precision of computational diagnostics and therapeutics through network-based approaches
Abstract Systems Bioinformatics is a relatively new approach, which lies in the intersection of
systems biology and classical bioinformatics. It focuses on integrating information across …
systems biology and classical bioinformatics. It focuses on integrating information across …
Differential co-expression-based detection of conditional relationships in transcriptional data: comparative analysis and application to breast cancer
Background Elucidation of regulatory networks, including identification of regulatory
mechanisms specific to a given biological context, is a key aim in systems biology. This has …
mechanisms specific to a given biological context, is a key aim in systems biology. This has …
Data-driven reverse engineering of signaling pathways using ensembles of dynamic models
Despite significant efforts and remarkable progress, the inference of signaling networks from
experimental data remains very challenging. The problem is particularly difficult when the …
experimental data remains very challenging. The problem is particularly difficult when the …
Semi-supervised prediction of gene regulatory networks using machine learning algorithms
N Patel, JTL Wang - Journal of biosciences, 2015 - Springer
Use of computational methods to predict gene regulatory networks (GRNs) from gene
expression data is a challenging task. Many studies have been conducted using …
expression data is a challenging task. Many studies have been conducted using …
Systems analysis identifies miR-29b regulation of invasiveness in melanoma
Background In many cancers, microRNAs (miRs) contribute to metastatic progression by
modulating phenotypic reprogramming processes such as epithelial-mesenchymal …
modulating phenotypic reprogramming processes such as epithelial-mesenchymal …
Information theoretic approaches for inference of biological networks from continuous-valued data
DM Budden, EJ Crampin - BMC systems biology, 2016 - Springer
Background Characterising programs of gene regulation by studying individual protein-DNA
and protein-protein interactions would require a large volume of high-resolution proteomics …
and protein-protein interactions would require a large volume of high-resolution proteomics …
Reverse Engineering and Feedback Control of Gene Networks
M di Bernardo, D di Bernardo - Encyclopedia of Systems and Control, 2021 - Springer
Over the past decades, increasingly larger and more complex gene regulatory networks
(GRNs) have been synthesized de novo in synthetic biology or analyzed and studied in a …
(GRNs) have been synthesized de novo in synthetic biology or analyzed and studied in a …