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.
CITATION STYLE
Komurov, K. (2015). Computational approaches to modeling of molecular interactions in multicellular systems. In Intercellular Communication In Cancer (pp. 287–296). Springer Netherlands. https://doi.org/10.1007/978-94-017-7380-5_11
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