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Network-based Bayesian inference revealed critical ncRNAs signal drivers from transcriptomics in CLL

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The purpose of this study is to create a novel workflow based on NetBID tool (Network-based Bayesian inference of signal drivers), in order to unveil ncRNA-gene associations with biological merit in a type of multi-factorial disease like B cell lymphomas (Chronic Lymphocytic Leukemia). Preliminary analysis of BloodCancerMultiOmics2017 database reveals central ncRNAs drivers in CLL patients in comparison with samples that differentiate in drug response with Ibrutinib. These initial findings hopefully pave the way to discover through a Systems-approach more ncRNAs that participate in CLL pathobiology and could be of therapeutic interest. 

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GenOptics

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