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For: García del Valle EP, Lagunes García G, Prieto Santamaría L, Zanin M, Menasalvas Ruiz E, Rodríguez-gonzález A. Disease networks and their contribution to disease understanding: A review of their evolution, techniques and data sources. Journal of Biomedical Informatics 2019;94:103206. [DOI: 10.1016/j.jbi.2019.103206] [Cited by in Crossref: 20] [Cited by in F6Publishing: 20] [Article Influence: 6.7] [Reference Citation Analysis]
Number Citing Articles
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8 Rosário-Ferreira N, Guimarães V, Costa VS, Moreira IS. SicknessMiner: a deep-learning-driven text-mining tool to abridge disease-disease associations. BMC Bioinformatics 2021;22:482. [PMID: 34607568 DOI: 10.1186/s12859-021-04397-w] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
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10 Podder A, Raju A, Schork NJ. Cross-Species and Human Inter-Tissue Network Analysis of Genes Implicated in Longevity and Aging Reveal Strong Support for Nutrient Sensing. Front Genet 2021;12:719713. [PMID: 34512728 DOI: 10.3389/fgene.2021.719713] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 3.0] [Reference Citation Analysis]
11 Tan F, Zhang T, Yang S, Wu X, Xu J. Discovering Booming Bio-entities and Their Relationship with Funds. Data and Information Management 2021;5:312-28. [DOI: 10.2478/dim-2021-0007] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
12 García Del Valle EP, Lagunes García G, Prieto Santamaría L, Zanin M, Menasalvas Ruiz E, Rodríguez-González A. Leveraging network analysis to evaluate biomedical named entity recognition tools. Sci Rep 2021;11:13537. [PMID: 34188248 DOI: 10.1038/s41598-021-93018-w] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
13 García Del Valle EP, Lagunes García G, Prieto Santamaría L, Zanin M, Menasalvas Ruiz E, Rodríguez-González A. DisMaNET: A network-based tool to cross map disease vocabularies. Comput Methods Programs Biomed 2021;207:106233. [PMID: 34157517 DOI: 10.1016/j.cmpb.2021.106233] [Cited by in Crossref: 2] [Article Influence: 2.0] [Reference Citation Analysis]
14 del Valle EPG, Santamaria LP, Garcia GL, Zanin M, Ruiz EM, Rodriguez-gonzalez A. A Meta-Path-Based Prediction Method for Disease Comorbidities. 2021 IEEE 34th International Symposium on Computer-Based Medical Systems (CBMS) 2021. [DOI: 10.1109/cbms52027.2021.00022] [Reference Citation Analysis]
15 Dotolo S, Marabotti A, Rachiglio AM, Esposito Abate R, Benedetto M, Ciardiello F, De Luca A, Normanno N, Facchiano A, Tagliaferri R. A multiple network-based bioinformatics pipeline for the study of molecular mechanisms in oncological diseases for personalized medicine. Brief Bioinform 2021:bbab180. [PMID: 34050359 DOI: 10.1093/bib/bbab180] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
16 Fernando PC, Mabee PM, Zeng E. Gene network module changes associated with the vertebrate fin to limb transition.. [DOI: 10.1101/2021.01.28.428646] [Reference Citation Analysis]
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19 Lu K, Yang K, Niyongabo E, Shu Z, Wang J, Chang K, Zou Q, Jiang J, Jia C, Liu B, Zhou X. Integrated network analysis of symptom clusters across disease conditions. J Biomed Inform 2020;107:103482. [PMID: 32535270 DOI: 10.1016/j.jbi.2020.103482] [Cited by in Crossref: 6] [Cited by in F6Publishing: 5] [Article Influence: 3.0] [Reference Citation Analysis]
20 Lagunes-García G, Rodríguez-González A, Prieto-Santamaría L, García Del Valle EP, Zanin M, Menasalvas-Ruiz E. DISNET: a framework for extracting phenotypic disease information from public sources. PeerJ 2020;8:e8580. [PMID: 32110491 DOI: 10.7717/peerj.8580] [Cited by in Crossref: 17] [Cited by in F6Publishing: 18] [Article Influence: 8.5] [Reference Citation Analysis]