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Using graph theory to analyze biological networks
Understanding complex systems often requires a bottom-up analysis towards a systems
biology approach. The need to investigate a system, not only as individual components but …
biology approach. The need to investigate a system, not only as individual components but …
Aminoacyl-tRNA synthetases and tumorigenesis: more than housekee**
Over the past decade, the identification of cancer-associated factors has been a subject of
primary interest not only for understanding the basic mechanisms of tumorigenesis but also …
primary interest not only for understanding the basic mechanisms of tumorigenesis but also …
ToppGene Suite for gene list enrichment analysis and candidate gene prioritization
Abstract ToppGene Suite (http://toppgene. cchmc. org; this web site is free and open to all
users and does not require a login to access) is a one-stop portal for (i) gene list functional …
users and does not require a login to access) is a one-stop portal for (i) gene list functional …
Use of natural products as chemical library for drug discovery and network pharmacology
J Gu, Y Gui, L Chen, G Yuan, HZ Lu, X Xu - PloS one, 2013 - journals.plos.org
Background Natural products have been an important source of lead compounds for drug
discovery. How to find and evaluate bioactive natural products is critical to the achievement …
discovery. How to find and evaluate bioactive natural products is critical to the achievement …
Computing topological parameters of biological networks
Y Assenov, F Ramírez, SE Schelhorn… - …, 2008 - academic.oup.com
Rapidly increasing amounts of molecular interaction data are being produced by various
experimental techniques and computational prediction methods. In order to gain insight into …
experimental techniques and computational prediction methods. In order to gain insight into …
A systematic survey of centrality measures for protein-protein interaction networks
M Ashtiani, A Salehzadeh-Yazdi… - BMC systems …, 2018 - Springer
Background Numerous centrality measures have been introduced to identify “central” nodes
in large networks. The availability of a wide range of measures for ranking influential nodes …
in large networks. The availability of a wide range of measures for ranking influential nodes …
Analyzing biological network parameters with CentiScaPe
G Scardoni, M Petterlini, C Laudanna - Bioinformatics, 2009 - academic.oup.com
The increasing availability of large network datasets along with the progresses in
experimental high-throughput technologies have prompted the need for tools allowing easy …
experimental high-throughput technologies have prompted the need for tools allowing easy …
Performance indicators for public transit connectivity in multi-modal transportation networks
Connectivity plays a crucial role as agencies at the federal and state level focus on
expanding the public transit system to meet the demands of a multimodal transportation …
expanding the public transit system to meet the demands of a multimodal transportation …
[HTML][HTML] Network learning for biomarker discovery
Everything is connected and thus networks are instrumental in not only modeling complex
systems with many components, but also accommodating knowledge about their …
systems with many components, but also accommodating knowledge about their …
Disease candidate gene identification and prioritization using protein interaction networks
Background Although most of the current disease candidate gene identification and
prioritization methods depend on functional annotations, the coverage of the gene functional …
prioritization methods depend on functional annotations, the coverage of the gene functional …