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Searching for the Source of Difference: A Graphical Model Approach

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Computational Intelligence Methods for Bioinformatics and Biostatistics (CIBB 2018)

Part of the book series: Lecture Notes in Computer Science ((LNBI,volume 11925))

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Abstract

A growing body of evidence shows that when performing differential analysis it is highly beneficial to go beyond differences in the level of individual genes, and consider differences in their interactions as well. We propose an original statistical approach that identifies the set of variables driving the difference between two conditions under study. Our proposal, set within the framework of Gaussian graphical models, is implemented in the R package SourceSet, that also extends the analysis from a single to multiple pathways and provides several graphical outputs, including Cytoscape visualization to browse the results.

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Author information

Authors and Affiliations

  1. Department of Biostatistics, University of Oslo, Oslo, Norway

    Vera Djordjilović

  2. Department of Statistical Sciences, University of Bologna, Bologna, Italy

    Monica Chiogna

  3. Department of Biology, University of Padova, Padua, Italy

    Chiara Romualdi

  4. IFOM, The FIRC Institute of Molecular Oncology, Milan, Italy

    Elisa Salviato

Authors
  1. Vera Djordjilović
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  2. Monica Chiogna
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  3. Chiara Romualdi
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  4. Elisa Salviato
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Corresponding author

Correspondence to Vera Djordjilović .

Editor information

Editors and Affiliations

  1. Universidade Nova de Lisboa, Caparica, Portugal

    Maria Raposo

  2. Universidade Nova de Lisboa, Caparica, Portugal

    Paulo Ribeiro

  3. University of Lisbon, Caparica, Portugal

    Susana Sério

  4. Università degli Studi di Napoli Parthenope, Naples, Italy

    Antonino Staiano

  5. Università degli Studi di Napoli Parthenope, Naples, Italy

    Angelo Ciaramella

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Djordjilović, V., Chiogna, M., Romualdi, C., Salviato, E. (2020). Searching for the Source of Difference: A Graphical Model Approach. In: Raposo, M., Ribeiro, P., Sério, S., Staiano, A., Ciaramella, A. (eds) Computational Intelligence Methods for Bioinformatics and Biostatistics. CIBB 2018. Lecture Notes in Computer Science(), vol 11925. Springer, Cham. https://doi.org/10.1007/978-3-030-34585-3_12

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  • DOI: https://doi.org/10.1007/978-3-030-34585-3_12

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-34584-6

  • Online ISBN: 978-3-030-34585-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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