IDEAS home Printed from https://ideas.repec.org/r/nat/nature/v461y2009i7261d10.1038_nature08454.html
   My bibliography  Save this item

Molecular networks as sensors and drivers of common human diseases

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Guiqiong Xu & Chen Dong & Lei Meng, 2022. "Research on the Collaborative Innovation Relationship of Artificial Intelligence Technology in Yangtze River Delta of China: A Complex Network Perspective," Sustainability, MDPI, vol. 14(21), pages 1-19, October.
  2. Frank Emmert-Streib & Galina V Glazko, 2011. "Pathway Analysis of Expression Data: Deciphering Functional Building Blocks of Complex Diseases," PLOS Computational Biology, Public Library of Science, vol. 7(5), pages 1-6, May.
  3. Seyed Yahya Anvar & Allan Tucker & Veronica Vinciotti & Andrea Venema & Gert-Jan B van Ommen & Silvere M van der Maarel & Vered Raz & Peter A C ‘t Hoen, 2011. "Interspecies Translation of Disease Networks Increases Robustness and Predictive Accuracy," PLOS Computational Biology, Public Library of Science, vol. 7(11), pages 1-14, November.
  4. Yoo-Ah Kim & Stefan Wuchty & Teresa M Przytycka, 2011. "Identifying Causal Genes and Dysregulated Pathways in Complex Diseases," PLOS Computational Biology, Public Library of Science, vol. 7(3), pages 1-13, March.
  5. Susan Dina Ghiassian & Jörg Menche & Albert-László Barabási, 2015. "A DIseAse MOdule Detection (DIAMOnD) Algorithm Derived from a Systematic Analysis of Connectivity Patterns of Disease Proteins in the Human Interactome," PLOS Computational Biology, Public Library of Science, vol. 11(4), pages 1-21, April.
  6. Pi-Jing Wei & Di Zhang & Hai-Tao Li & Junfeng Xia & Chun-Hou Zheng, 2017. "DriverFinder: A Gene Length-Based Network Method to Identify Cancer Driver Genes," Complexity, Hindawi, vol. 2017, pages 1-10, August.
  7. Xue Jiang & Han Zhang & Xiongwen Quan & Zhandong Liu & Yanbin Yin, 2017. "Disease-related gene module detection based on a multi-label propagation clustering algorithm," PLOS ONE, Public Library of Science, vol. 12(5), pages 1-17, May.
  8. Xu, Guiqiong & Meng, Lei, 2023. "A novel algorithm for identifying influential nodes in complex networks based on local propagation probability model," Chaos, Solitons & Fractals, Elsevier, vol. 168(C).
  9. Wei, Daijun & Deng, Xinyang & Zhang, Xiaoge & Deng, Yong & Mahadevan, Sankaran, 2013. "Identifying influential nodes in weighted networks based on evidence theory," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(10), pages 2564-2575.
  10. Fei, Liguo & Zhang, Qi & Deng, Yong, 2018. "Identifying influential nodes in complex networks based on the inverse-square law," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 512(C), pages 1044-1059.
  11. Valur Emilsson & Elias F. Gudmundsson & Thorarinn Jonmundsson & Brynjolfur G. Jonsson & Michael Twarog & Valborg Gudmundsdottir & Zhiguang Li & Nancy Finkel & Stephen Poor & Xin Liu & Robert Esterberg, 2022. "A proteogenomic signature of age-related macular degeneration in blood," Nature Communications, Nature, vol. 13(1), pages 1-15, December.
  12. Calvin McCarter & Judie Howrylak & Seyoung Kim, 2020. "Learning gene networks underlying clinical phenotypes using SNP perturbation," PLOS Computational Biology, Public Library of Science, vol. 16(10), pages 1-24, October.
  13. Wu, Hongqian & Deng, Hongzhong & Li, Jichao & Wang, Yangjun & Yang, Kewei, 2024. "Hunting for influential nodes based on radiation theory in complex networks," Chaos, Solitons & Fractals, Elsevier, vol. 188(C).
  14. Junke Wang & Mo Xie & Lilin Ouyang & Jinggang Li & Lianhui Wang & Chunhai Fan & Jie Chao, 2025. "Artificial molecular communication network based on DNA nanostructures recognition," Nature Communications, Nature, vol. 16(1), pages 1-11, December.
  15. Andrea Pinna & Nicola Soranzo & Alberto de la Fuente, 2010. "From Knockouts to Networks: Establishing Direct Cause-Effect Relationships through Graph Analysis," PLOS ONE, Public Library of Science, vol. 5(10), pages 1-8, October.
  16. Alexander Gudjonsson & Valborg Gudmundsdottir & Gisli T. Axelsson & Elias F. Gudmundsson & Brynjolfur G. Jonsson & Lenore J. Launer & John R. Lamb & Lori L. Jennings & Thor Aspelund & Valur Emilsson &, 2022. "A genome-wide association study of serum proteins reveals shared loci with common diseases," Nature Communications, Nature, vol. 13(1), pages 1-13, December.
  17. Luis P Fernandes & Alessia Annibale & Jens Kleinjung & Anthony C C Coolen & Franca Fraternali, 2010. "Protein Networks Reveal Detection Bias and Species Consistency When Analysed by Information-Theoretic Methods," PLOS ONE, Public Library of Science, vol. 5(8), pages 1-14, August.
  18. Gao, Cai & Wei, Daijun & Hu, Yong & Mahadevan, Sankaran & Deng, Yong, 2013. "A modified evidential methodology of identifying influential nodes in weighted networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(21), pages 5490-5500.
  19. Lingfei Wang & Tom Michoel, 2017. "Efficient and accurate causal inference with hidden confounders from genome-transcriptome variation data," PLOS Computational Biology, Public Library of Science, vol. 13(8), pages 1-26, August.
  20. Peng Wei & Hongwei Tang & Donghui Li, 2012. "Insights into Pancreatic Cancer Etiology from Pathway Analysis of Genome-Wide Association Study Data," PLOS ONE, Public Library of Science, vol. 7(10), pages 1-10, October.
  21. Bian, Tian & Hu, Jiantao & Deng, Yong, 2017. "Identifying influential nodes in complex networks based on AHP," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 479(C), pages 422-436.
  22. Darcy A Davis & Nitesh V Chawla, 2011. "Exploring and Exploiting Disease Interactions from Multi-Relational Gene and Phenotype Networks," PLOS ONE, Public Library of Science, vol. 6(7), pages 1-9, July.
  23. Zhao, Jie & Wang, Yunchuan & Deng, Yong, 2020. "Identifying influential nodes in complex networks from global perspective," Chaos, Solitons & Fractals, Elsevier, vol. 133(C).
  24. Wang, Longyun & Mou, Jianhong & Dai, Bitao & Tan, Suoyi & Cai, Mengsi & Chen, Huan & Jin, Zhen & Sun, Guiquan & Lu, Xin, 2024. "Influential nodes identification based on hierarchical structure," Chaos, Solitons & Fractals, Elsevier, vol. 186(C).
  25. Eric P Xing & Ross E Curtis & Georg Schoenherr & Seunghak Lee & Junming Yin & Kriti Puniyani & Wei Wu & Peter Kinnaird, 2014. "GWAS in a Box: Statistical and Visual Analytics of Structured Associations via GenAMap," PLOS ONE, Public Library of Science, vol. 9(6), pages 1-19, June.
  26. Matt Silver & Peng Chen & Ruoying Li & Ching-Yu Cheng & Tien-Yin Wong & E-Shyong Tai & Yik-Ying Teo & Giovanni Montana, 2013. "Pathways-Driven Sparse Regression Identifies Pathways and Genes Associated with High-Density Lipoprotein Cholesterol in Two Asian Cohorts," PLOS Genetics, Public Library of Science, vol. 9(11), pages 1-28, November.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.