[HTML][HTML] Network medicine in the age of biomedical big data
Network medicine is an emerging area of research dealing with molecular and genetic
interactions, network biomarkers of disease, and therapeutic target discovery. Large-scale …
interactions, network biomarkers of disease, and therapeutic target discovery. Large-scale …
A review on the computational approaches for gene regulatory network construction
LE Chai, SK Loh, ST Low, MS Mohamad… - Computers in biology …, 2014 - Elsevier
Many biological research areas such as drug design require gene regulatory networks to
provide clear insight and understanding of the cellular process in living cells. This is …
provide clear insight and understanding of the cellular process in living cells. This is …
[HTML][HTML] Comparison of co-expression measures: mutual information, correlation, and model based indices
L Song, P Langfelder, S Horvath - BMC bioinformatics, 2012 - Springer
Background Co-expression measures are often used to define networks among genes.
Mutual information (MI) is often used as a generalized correlation measure. It is not clear …
Mutual information (MI) is often used as a generalized correlation measure. It is not clear …
Computational methods for discovering gene networks from expression data
WP Lee, WS Tzou - Briefings in bioinformatics, 2009 - academic.oup.com
Designing and conducting experiments are routine practices for modern biologists. The real
challenge, especially in the post-genome era, usually comes not from acquiring data, but …
challenge, especially in the post-genome era, usually comes not from acquiring data, but …
[图书][B] Probabilistic Boolean networks: the modeling and control of gene regulatory networks
I Shmulevich, ER Dougherty - 2010 - SIAM
It was around the period of World War II that Arturo Rosenblueth and Norbert Wiener were
taking the first steps in the direction of systems medicine. They formed an interesting pair …
taking the first steps in the direction of systems medicine. They formed an interesting pair …
[HTML][HTML] A survey of gene regulatory networks modelling methods: from differential equations, to Boolean and qualitative bioinspired models
Abstract Gene Regulatory Networks (GRNs) represent the interactions among genes
regulating the activation of specific cell functionalities, such as reception of (chemical) …
regulating the activation of specific cell functionalities, such as reception of (chemical) …
[图书][B] Machine learning approaches to bioinformatics
ZR Yang - 2010 - books.google.com
1. Introduction. 1.1. Brief history of bioinformatics. 1.2. Database application in
bioinformatics. 1.3. Web tools and services for sequence homology alignment. 1.4. Pattern …
bioinformatics. 1.3. Web tools and services for sequence homology alignment. 1.4. Pattern …
[HTML][HTML] Ecological network inference from long-term presence-absence data
Ecological communities are characterized by complex networks of trophic and nontrophic
interactions, which shape the dy-namics of the community. Machine learning and …
interactions, which shape the dy-namics of the community. Machine learning and …
[HTML][HTML] Recent development and biomedical applications of probabilistic Boolean networks
Probabilistic Boolean network (PBN) modelling is a semi-quantitative approach widely used
for the study of the topology and dynamic aspects of biological systems. The combined use …
for the study of the topology and dynamic aspects of biological systems. The combined use …
Graph-based Bayesian optimization for large-scale objective-based experimental design
M Imani, SF Ghoreishi - IEEE transactions on neural networks …, 2021 - ieeexplore.ieee.org
Design is an inseparable part of most scientific and engineering tasks, including real and
simulation-based experimental design processes and parameter/hyperparameter …
simulation-based experimental design processes and parameter/hyperparameter …