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Unveiling Clusters of RNA Transcript Pairs Associated with Markers of Alzheimer’s Disease Progression

Author

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  • Ahmed Shamsul Arefin
  • Luke Mathieson
  • Daniel Johnstone
  • Regina Berretta
  • Pablo Moscato

Abstract

Background: One primary goal of transcriptomic studies is identifying gene expression patterns correlating with disease progression. This is usually achieved by considering transcripts that independently pass an arbitrary threshold (e.g. p

Suggested Citation

  • Ahmed Shamsul Arefin & Luke Mathieson & Daniel Johnstone & Regina Berretta & Pablo Moscato, 2012. "Unveiling Clusters of RNA Transcript Pairs Associated with Markers of Alzheimer’s Disease Progression," PLOS ONE, Public Library of Science, vol. 7(9), pages 1-25, September.
    • Handle: RePEc:plo:pone00:0045535
    DOI: 10.1371/journal.pone.0045535
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    Cited by:

    1. Leila M Naeni & Hugh Craig & Regina Berretta & Pablo Moscato, 2016. "A Novel Clustering Methodology Based on Modularity Optimisation for Detecting Authorship Affinities in Shakespearean Era Plays," PLOS ONE, Public Library of Science, vol. 11(8), pages 1-27, August.
    2. Natalie Jane de Vries & Rodrigo Reis & Pablo Moscato, 2015. "Clustering Consumers Based on Trust, Confidence and Giving Behaviour: Data-Driven Model Building for Charitable Involvement in the Australian Not-For-Profit Sector," PLOS ONE, Public Library of Science, vol. 10(4), pages 1-28, April.
    3. Nisha Puthiyedth & Carlos Riveros & Regina Berretta & Pablo Moscato, 2016. "Identification of Differentially Expressed Genes through Integrated Study of Alzheimer’s Disease Affected Brain Regions," PLOS ONE, Public Library of Science, vol. 11(4), pages 1-29, April.
    4. Ahmed Shamsul Arefin & Renato Vimieiro & Carlos Riveros & Hugh Craig & Pablo Moscato, 2014. "An Information Theoretic Clustering Approach for Unveiling Authorship Affinities in Shakespearean Era Plays and Poems," PLOS ONE, Public Library of Science, vol. 9(10), pages 1-12, October.

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