Open Access
Issue |
E3S Web Conf.
Volume 131, 2019
2nd International Conference on Biofilms (ChinaBiofilms 2019)
|
|
---|---|---|
Article Number | 01010 | |
Number of page(s) | 7 | |
DOI | https://doi.org/10.1051/e3sconf/201913101010 | |
Published online | 19 November 2019 |
- Barabási AL, Gulbahce N, Loscalzo J. Network medicine:a network-based approach to human disease. Nat Rev Genet, 12 (1):56-68(2011). [CrossRef] [PubMed] [Google Scholar]
- Urh K, Kolenc Ž, Hrovat M.et al. Molecular Mechanisms of Syndromic Cryptorchidism: Data Synthesis of 50 Studies and Visualization of Gene-Disease Network. Front Endocrinol (Lausanne), 9, doi: 10.3389/fendo.2018.00425 (2018). [Google Scholar]
- Lázaro-Guevara JM, Flores-Robles BJ, Garrido K.et al. Gene’s hubs in retinal diseases: A retinal disease network. Heliyon, 6, e00867 (2018). [Google Scholar]
- Sharma A, Kitsak M, Cho MH. et al.(2018) Integration of Molecular Interactome and Targeted Interaction Analysis to Identify a COPD Disease Network Module. Sci Rep, 8, doi: 10.1038/s41598-018-32173-z(2018). [Google Scholar]
- Jodeleit H, Palamides P, Beigel F.et al. Design and validation of a disease network of infammatory processes in the NSG-UC mouse model. J Transl Med., 15, doi: 10.1186/s12967-017-1368-4 (2017). [Google Scholar]
- Goh KI, Cusick ME, Valle D.et al. The human disease network. Proceedings of the National Academy of Sciences, 104 (21): 8685-8690(2007). [Google Scholar]
- Suk K. Human-yeast genetic interaction for disease network: systematic discovery of multiple drug targets. BMB Rep. 50 (11): 535-536(2017). [Google Scholar]
- Lo Surdo P, Calderone A, Iannuccelli M.et al. DISNOR: a disease network open resource.Nucleic. Acids Res., 46(D1): D527-D534. doi: 10.1093/nar/gkx876 (2018). [CrossRef] [Google Scholar]
- Lee DS, Park J, Kay KA. et al. The implications of human metabolic network topology for disease comorbidity. PNAS, 105:9880–9885 (2008). [CrossRef] [Google Scholar]
- Lu M, Zhang Q, Deng M. et al. An Analysis of Human MicroRNA and Disease Associations. Plos ONE, 3, e3420 (2008). [CrossRef] [PubMed] [Google Scholar]
- Yuan D, Cui X, Wang Y.et al. Enrichment Analysis Identifies Functional MicroRNA-Disease Associations in Humans. PLoS ONE, 10, e0136285. doi: 10.1371/journal.pone.0136285 (2015). [CrossRef] [PubMed] [Google Scholar]
- Van Driel MA, Bruggeman J, Vriend G. et al. A text-mining analysis of the human phenome. European Journal of Human Genetics, 14:535–542 (2006). [CrossRef] [Google Scholar]
- Rzhetsky A, Wajngurt D, Park N. et al. Probing genetic overlap among complex human phenotypes. PNAS, 104:11694–11699 (2007). [CrossRef] [Google Scholar]
- Hidalgo CA, Blumm N, Barabási AL. et al. A Dynamic Network Approach for the Study of Human Phenotypes. Plos Computational Biology, 5, e1000353 (2009). [CrossRef] [PubMed] [Google Scholar]
- Zhou X, Menche J, Barabási AL. et al. Human symptoms-disease network. Nat. Commun, 5:4212, doi: 10.1038/ncomms5212 (2014). [Google Scholar]
- Yang J, Wu SJ, Dai WT.et al. The human disease network in terms of dysfunctional regulatory mechanisms. Biol Direct, 10:60. doi: 10.1186/s13062-015-0088-z (2015). [Google Scholar]
- Yang J, Wu SJ, Yang SY. et al. DNetDB: The human disease network database based on dysfunctional regulation mechanism. BMC Syst Biol, 10 (1):36. doi: 10.1186/s12918-016-0280-5 (2016). [Google Scholar]
- Taboureau O, Audouze K. Human Environmental Disease Network: A computational model to assess toxicology of contaminants. ALTEX. 34 (2):289-300. doi: 10.14573/altex (2017). [CrossRef] [PubMed] [Google Scholar]
- Yu L, Gao L. Human pathway-based disease network. IEEE/ACM Trans Comput Biol Bioinform, 17, 2019, doi: 10.1109/TCBB.2017.2774802 (2017). [Google Scholar]
- identification and clustering of human disease etiological factors. BMC Bioinformatics, 10 Suppl 2:S14. doi: 10.1186/1471-2105-10-S2-S14 (2009). [Google Scholar]
- Bang S, Kim JH, Shin H. Causality modeling for directed disease network. Bioinformatics, 32 (17):i437-i444. doi: 10.1093/bioinformatics/btw439 (2016). [CrossRef] [PubMed] [Google Scholar]
- Jiang Y, Ma S, Shia BC.et al. An Epidemiological Human Disease Network Derived from Disease Cooccurrence in Taiwan. Sci Rep., ;8 (1):4557, doi: 10.1038/s41598-018-21779-y (2018). [CrossRef] [PubMed] [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.