A DIseAse MOdule Detection (DIAMOnD) Algorithm Derived from a Systematic Analysis of Connectivity Patterns of Disease Proteins in the Human Interactome
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DOI: 10.1371/journal.pcbi.1004120
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References listed on IDEAS
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- Ke Hu & Ju Xiang & Yun-Xia Yu & Liang Tang & Qin Xiang & Jian-Ming Li & Yong-Hong Tang & Yong-Jun Chen & Yan Zhang, 2020. "Significance-based multi-scale method for network community detection and its application in disease-gene prediction," PLOS ONE, Public Library of Science, vol. 15(3), pages 1-24, March.
- Sepideh Sadegh & James Skelton & Elisa Anastasi & Andreas Maier & Klaudia Adamowicz & Anna Möller & Nils M. Kriege & Jaanika Kronberg & Toomas Haller & Tim Kacprowski & Anil Wipat & Jan Baumbach & Dav, 2023. "Lacking mechanistic disease definitions and corresponding association data hamper progress in network medicine and beyond," Nature Communications, Nature, vol. 14(1), pages 1-15, December.
- Pisanu Buphamalai & Tomislav Kokotovic & Vanja Nagy & Jörg Menche, 2021. "Network analysis reveals rare disease signatures across multiple levels of biological organization," Nature Communications, Nature, vol. 12(1), pages 1-15, December.
- Abby Hill & Scott Gleim & Florian Kiefer & Frederic Sigoillot & Joseph Loureiro & Jeremy Jenkins & Melody K Morris, 2019. "Benchmarking network algorithms for contextualizing genes of interest," PLOS Computational Biology, Public Library of Science, vol. 15(12), pages 1-14, December.
- Juan J Cáceres & Alberto Paccanaro, 2019. "Disease gene prediction for molecularly uncharacterized diseases," PLOS Computational Biology, Public Library of Science, vol. 15(7), pages 1-14, July.
- Sepideh Sadegh & James Skelton & Elisa Anastasi & Judith Bernett & David B. Blumenthal & Gihanna Galindez & Marisol Salgado-Albarrán & Olga Lazareva & Keith Flanagan & Simon Cockell & Cristian Nogales, 2021. "Network medicine for disease module identification and drug repurposing with the NeDRex platform," Nature Communications, Nature, vol. 12(1), pages 1-12, December.
- Peter Marx & Peter Antal & Bence Bolgar & Gyorgy Bagdy & Bill Deakin & Gabriella Juhasz, 2017. "Comorbidities in the diseasome are more apparent than real: What Bayesian filtering reveals about the comorbidities of depression," PLOS Computational Biology, Public Library of Science, vol. 13(6), pages 1-23, June.
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