Integrating Biological Networks for Drug Target Prediction and Prioritization.
Sign Up to like & getrecommendations! Published in 2019 at "Methods in molecular biology"
DOI: 10.1007/978-1-4939-8955-3_12
Abstract: Computational prediction of the clinical success or failure of a potential drug target for therapeutic use is a challenging problem. Novel network propagation algorithms that integrate heterogeneous biological networks are proving useful for drug target… read more here.
Keywords: network; target; biological networks; drug ... See more keywords
Probabilistic Graphical Models Applied to Biological Networks.
Sign Up to like & getrecommendations! Published in 2021 at "Advances in experimental medicine and biology"
DOI: 10.1007/978-3-030-80352-0_7
Abstract: Biological networks can be defined as a set of molecules and all the interactions among them. Their study can be useful to predict gene function, phenotypes, and regulate molecular patterns. Probabilistic graphical models (PGMs) are… read more here.
Keywords: probabilistic graphical; graphical models; models applied; applied biological ... See more keywords
Impulsive control of a nonlinear dynamical network and its application to biological networks
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Biological Physics"
DOI: 10.1007/s10867-018-9513-8
Abstract: The control of nonlinear dynamical systems is always a notable problem in science. According to control theory, suitable inputs for a controllable dynamical system are critical. Previous studies have shown some principles to determine control… read more here.
Keywords: impulsive control; network; control; biological networks ... See more keywords
Next-Generation Machine Learning for Biological Networks
Sign Up to like & getrecommendations! Published in 2018 at "Cell"
DOI: 10.1016/j.cell.2018.05.015
Abstract: Machine learning, a collection of data-analytical techniques aimed at building predictive models from multi-dimensional datasets, is becoming integral to modern biological research. By enabling one to generate models that learn from large datasets and make… read more here.
Keywords: machine learning; biological networks; generation machine; biology ... See more keywords
Logical versus kinetic modeling of biological networks: applications in cancer research
Sign Up to like & getrecommendations! Published in 2018 at "Current opinion in chemical engineering"
DOI: 10.1016/j.coche.2018.02.005
Abstract: Mathematical modeling of biological networks is a promising approach to understand the complexity of cancer progression, which can be understood as accumulated abnormalities in the kinetics of cellular biochemistry. Two major modeling formalisms (languages) have… read more here.
Keywords: logical versus; cancer research; biological networks; biology ... See more keywords
Model selection in biological networks using a graphical EM algorithm
Sign Up to like & getrecommendations! Published in 2019 at "Neurocomputing"
DOI: 10.1016/j.neucom.2019.03.047
Abstract: Abstract The analysis of biological networks is an important task in life sciences. Most of biological interactions can be modeled using graphical networks where arcs represent probabilistic relationships between nodes or variables. Such models help… read more here.
Keywords: model selection; model; algorithm; biological networks ... See more keywords
Intermediate Structural Hierarchy in Biological Networks Modulates the Fractal Dimension and Force Distribution of Percolating Clusters.
Sign Up to like & getrecommendations! Published in 2021 at "Biomacromolecules"
DOI: 10.1021/acs.biomac.1c00751
Abstract: Globular protein hydrogels are an emerging class of materials with the potential for rational design, and a generalized understanding of how their network properties emerge from the structure and dynamics of the building block is… read more here.
Keywords: network; structural hierarchy; intermediate structural; networks modulates ... See more keywords
Network enhancement as a general method to denoise weighted biological networks
Sign Up to like & getrecommendations! Published in 2018 at "Nature Communications"
DOI: 10.1038/s41467-018-05469-x
Abstract: Networks are ubiquitous in biology where they encode connectivity patterns at all scales of organization, from molecular to the biome. However, biological networks are noisy due to the limitations of measurement technology and inherent natural… read more here.
Keywords: general method; network; network enhancement; enhancement general ... See more keywords
DNA Methylomes Reveal Biological Networks Involved in Human Eye Development, Functions and Associated Disorders
Sign Up to like & getrecommendations! Published in 2017 at "Scientific Reports"
DOI: 10.1038/s41598-017-12084-1
Abstract: This work provides a comprehensive CpG methylation landscape of the different layers of the human eye that unveils the gene networks associated with their biological functions and how these are disrupted in common visual disorders.… read more here.
Keywords: human eye; biological networks; reveal biological; methylomes reveal ... See more keywords
Towards perturbation prediction of biological networks using deep learning
Sign Up to like & getrecommendations! Published in 2019 at "Scientific Reports"
DOI: 10.1038/s41598-019-48391-y
Abstract: The mapping of the physical interactions between biochemical entities enables quantitative analysis of dynamic biological living systems. While developing a precise dynamical model on biological entity interaction is still challenging due to the limitation of… read more here.
Keywords: biological networks; topology based; topology; model ... See more keywords
Application of deep learning methods in biological networks
Sign Up to like & getrecommendations! Published in 2021 at "Briefings in bioinformatics"
DOI: 10.1093/bib/bbaa043
Abstract: The increase in biological data and the formation of various biomolecule interaction databases enable us to obtain diverse biological networks. These biological networks provide a wealth of raw materials for further understanding of biological systems,… read more here.
Keywords: network; biological networks; deep learning; learning methods ... See more keywords