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Advances in Bioinformatics
Volume 2013, Article ID 618461, 8 pages
http://dx.doi.org/10.1155/2013/618461
Research Article

Identification of Robust Pathway Markers for Cancer through Rank-Based Pathway Activity Inference

Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX 77843-3128, USA

Received 30 November 2012; Accepted 19 January 2013

Academic Editor: Hazem Nounou

Copyright © 2013 Navadon Khunlertgit and Byung-Jun Yoon. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [10 citations]

The following is the list of published articles that have cited the current article.

  • Navadon Khunlertgit, and Byung-Jun Yoon, “Simultaneous identification of robust synergistic subnetwork markers for effective cancer prognosis,” EURASIP Journal on Bioinformatics and Systems Biology, vol. 2014, no. 1, 2014. View at Publisher · View at Google Scholar
  • Mohammad Shahrokh Esfahani, and Edward R. Dougherty, “Incorporation of Biological Pathway Knowledge in the Construction of Priors for Optimal Bayesian Classification,” Ieee-Acm Transactions on Computational Biology and Bioinformatics, vol. 11, no. 1, pp. 202–218, 2014. View at Publisher · View at Google Scholar
  • Monalisa Mandal, Jyotirmay Mondal, and Anirban Mukhopadhyay, “A PSO-Based Approach for Pathway Marker Identification From Gene Expression Data,” Ieee Transactions On Nanobioscience, vol. 14, no. 6, pp. 591–597, 2015. View at Publisher · View at Google Scholar
  • Mohammad Shahrokh Esfahani, and Edward R. Dougherty, “An Optimization-Based Framework for the Transformation of Incomplete Biological Knowledge into a Probabilistic Structure and Its Application to the Ut,” Ieee-Acm Transactions On Computational Biology And Bioinformatics, vol. 12, no. 6, pp. 1304–1321, 2015. View at Publisher · View at Google Scholar
  • Huan Zhang, Won-Bo Shim, Byung-Jun Yoon, Mansuck Kim, and Charles Woloshuk, “Computational prediction of pathogenic network modules in fusarium verticillioides,” IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol. PP, no. 99, 2015. View at Publisher · View at Google Scholar
  • Navadon Khunlertgit, and Byung-Jun Yoon, “Incorporating topological information for predicting robust cancer subnetwork markers in human protein-protein interaction network,” BMC Bioinformatics, vol. 17, no. S13, 2016. View at Publisher · View at Google Scholar
  • Prativa Agarwalla, and Sumitra Mukhopadhyaypp. 337–362, 2017. View at Publisher · View at Google Scholar
  • Hyeonjeong Lee, and Miyoung Shin, “Mining pathway associations for disease-related pathway activity analysis based on gene expression and methylation data,” BioData Mining, vol. 10, no. 1, 2017. View at Publisher · View at Google Scholar
  • Xiaoning Qian, Edward R Dougherty, Shahin Boluki, and Mohammad Shahrokh Esfahani, “Incorporating biological prior knowledge for Bayesian learning via maximal knowledge-driven information priors,” BMC Bioinformatics, vol. 18, 2017. View at Publisher · View at Google Scholar
  • So Yeon Kim, Tae Rim Kim, Hyun-Hwan Jeong, and Kyung-Ah Sohn, “Integrative pathway-based survival prediction utilizing the interaction between gene expression and DNA methylation in breast cancer,” BMC Medical Genomics, vol. 11, no. S3, 2018. View at Publisher · View at Google Scholar