Machine learning for integrating data in biology and medicine: Principles, practice, and opportunities
New technologies have enabled the investigation of biology and human health at an
unprecedented scale and in multiple dimensions. These dimensions include a myriad of …
unprecedented scale and in multiple dimensions. These dimensions include a myriad of …
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 …
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 …
Survey of local and global biological network alignment: the need to reconcile the two sides of the same coin
PH Guzzi, T Milenković - Briefings in bioinformatics, 2018 - academic.oup.com
Analogous to genomic sequence alignment that allows for across-species transfer of
biological knowledge between conserved sequence regions, biological network alignment …
biological knowledge between conserved sequence regions, biological network alignment …
Network alignment and motif discovery in dynamic networks
P Cinaglia, M Cannataro - … Modeling Analysis in Health Informatics and …, 2022 - Springer
In the-omics era, bioinformatics technologies allowed the development of several
approaches useful to analyze biological systems. To provide a deep insight into a biological …
approaches useful to analyze biological systems. To provide a deep insight into a biological …
SANA: simulated annealing far outperforms many other search algorithms for biological network alignment
Every alignment algorithm consists of two orthogonal components: an objective function M
measuring the quality of an alignment, and a search algorithm that explores the space of …
measuring the quality of an alignment, and a search algorithm that explores the space of …
The post-genomic era of biological network alignment
Biological network alignment aims to find regions of topological and functional (dis)
similarities between molecular networks of different species. Then, network alignment can …
similarities between molecular networks of different species. Then, network alignment can …
Challenges and limitations of biological network analysis
High-Throughput technologies are producing an increasing volume of data that needs large
amounts of data storage, effective data models and efficient, possibly parallel analysis …
amounts of data storage, effective data models and efficient, possibly parallel analysis …
Multiple network alignment via multiMAGNA++
V Vijayan, T Milenković - IEEE/ACM transactions on …, 2017 - ieeexplore.ieee.org
Network alignment (NA) aims to find a node map** that identifies topologically or
functionally similar network regions between molecular networks of different species …
functionally similar network regions between molecular networks of different species …
[HTML][HTML] Unified alignment of protein-protein interaction networks
N Malod-Dognin, K Ban, N Pržulj - Scientific reports, 2017 - nature.com
Paralleling the increasing availability of protein-protein interaction (PPI) network data,
several network alignment methods have been proposed. Network alignments have been …
several network alignment methods have been proposed. Network alignments have been …