Combinatorial Detection of Conserved Alteration Patterns for Identifying Cancer Subnetworks

  1. Ermin Hodzic
  2. Raunak Shrestha
  3. Kaiyuan Zhu
  4. Kuoyuan Cheng
  5. Colin C Collins
  6. S Cenk Sahinalp

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  1. GigaScience

    Now published in GigaScience doi: 10.1093/gigascience/giz024

    Ermin Hodzic 1Laboratory for Advanced Genome Analysis, Vancouver Prostate Centre, Vancouver, BC, Canada2School of Computing Science, Simon Fraser University, Burnaby, BC, CanadaFind this author on Google ScholarFind this author on PubMedSearch for this author on this siteRaunak Shrestha 1Laboratory for Advanced Genome Analysis, Vancouver Prostate Centre, Vancouver, BC, Canada3Department of Urologic Sciences, University of British Columbia, Vancouver, BC, CanadaFind this author on Google ScholarFind this author on PubMedSearch for this author on this siteORCID record for Raunak ShresthaKaiyuan Zhu 4Department of Computer Science, Indiana University, Bloomington, IN, USAFind this author on Google ScholarFind this author on PubMedSearch for this author on this siteKuoyuan Cheng 5Center for Bioinformatics and Computational Biology, University of Maryland, College Park, MD, USAFind this author on Google ScholarFind this author on PubMedSearch for this author on this siteColin C. Collins 1Laboratory for Advanced Genome Analysis, Vancouver Prostate Centre, Vancouver, BC, Canada3Department of Urologic Sciences, University of British Columbia, Vancouver, BC, CanadaFind this author on Google ScholarFind this author on PubMedSearch for this author on this siteS. Cenk Sahinalp 1Laboratory for Advanced Genome Analysis, Vancouver Prostate Centre, Vancouver, BC, Canada4Department of Computer Science, Indiana University, Bloomington, IN, USAFind this author on Google ScholarFind this author on PubMedSearch for this author on this siteORCID record for S. Cenk SahinalpFor correspondence: cenksahi@indiana.edu

    A version of this preprint has been published in the Open Access journal GigaScience (see paper https://doi.org/10.1093/gigascience/giz024 ), where the paper and peer reviews are published openly under a CC-BY 4.0 license.

    These peer reviews were as follows:

    Reviewer 1: http://dx.doi.org/10.5524/REVIEW.101626 Reviewer 2: http://dx.doi.org/10.5524/REVIEW.101627

  2. Version published to 10.1093/gigascience/giz024
  3. Version published to 10.1101/369850v3 on bioRxiv
  4. Version published to 10.1101/369850v2 on bioRxiv
  5. Version published to 10.1101/369850v1 on bioRxiv