Application of Graph Clustering and Visualisation Methods to Analysis of Biomolecular Data-Reference-Cited by-同舟云学术

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Application of Graph Clustering and Visualisation Methods to Analysis of Biomolecular Data

Published:2018 Issue: Volume: Page:243-257
ISSN:1865-0929
Container-title:Communications in Computer and Information Science
language:
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Author:

Celms Edgars,Čerāns Kārlis,Freivalds Kārlis,Ķikusts Paulis,Lāce Lelde,Melkus Gatis,Opmanis Mārtiņš,Rituma Dārta,Ručevskis Pēteris,Vīksna Juris

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-97571-9_20

Reference26 articles.

1. Boccaletti, S., et al.: The structure and dynamics of multilayer networks. Phys. Rep. 544, 1–122 (2014)

2. Choudhari, J., et al.: Genomic determinants of protein abundance variation in colorectal cancer cells. Cell Rep. 20, 2201–2214 (2017)

3. Enright, A., et al.: An efficient algorithm for large-scale detection of protein families. Nucleic Acids Res. 30, 1575–1584 (2002)

4. Fortunato, A.: Community detection in graphs. Phys. Rep. 486, 75–174 (2010)

5. Lecture Notes in Computer Science;K Freivalds,2002

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Characteristic Topological Features of Promoter Capture Hi-C Interaction Networks;Biomedical Engineering Systems and Technologies;2020

2. Graph-based network analysis of transcriptional regulation pattern divergence in duplicated yeast gene pairs;Proceedings of the Tenth International Conference on Computational Systems-Biology and Bioinformatics;2019-12-04

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