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Computational Approaches to Modeling of Molecular Interactions in Multicellular Systems

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Intercellular Communication in Cancer

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Abstract

Cells in metazoans co-exist as multicellular communities, where coordinated interactions within and between cells determine the phenotype of the cell community as a whole. With the recent technological advances in cell sorting and genome-wide molecular profiling techniques, it is now possible to perform unbiased systems analyses of heterogeneous cell populations within multicellular systems. Functional analyses of such multi-layered high throughput data is greatly facilitated by computational tools to build coherent models of molecular interactions in multicellular systems. I will discuss different computational techniques of pathway-level analyses of genomic data, and the recent efforts of their extension to the analyses of heterogeneous cell populations.

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Authors and Affiliations

  1. Division of Experimental Hematology and Cancer Biology, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, 45229, USA

    Kakajan Komurov

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  1. Kakajan Komurov
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Correspondence to Kakajan Komurov .

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Editors and Affiliations

  1. Department of Pathology, Wayne State University School of Medicine, Detroit, Michigan, USA

    Mustapha Kandouz

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Komurov, K. (2015). Computational Approaches to Modeling of Molecular Interactions in Multicellular Systems. In: Kandouz, M. (eds) Intercellular Communication in Cancer. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-7380-5_11

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