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Biological feature validation of estimated gene interaction networks from microarray data: a case study on MYC in lymphomas
2011
Briefings in Bioinformatics
Gene expression is a dynamic process where thousands of components interact dynamically in a complex way. A major goal in systems biology/medicine is to reconstruct the network of components from microarray data. Here, we address two key aspects of network reconstruction: (i) ergodicity supports the interpretation of the measured data as time averages and (ii) confounding is an important aspect of network reconstruction. To elucidate these aspects, we explore a data set of 214 lymphoma patients
doi:10.1093/bib/bbr007
pmid:21498549
fatcat:5ztt4uc7v5ccneatfxh74rwxge