Pathway signalling networks represent several tens of genes/proteins and their relations. It is expected that only small parts of these pathways will differ (will be deregulated) in different experimental conditions. Despite such expectation, till now the issue of local dereg- ulation of pathways does not seem to have been properly taken into consideration in the literature. In this paper, we aim to perform a critical appraisal of the methodology based on graphical models developed in Massa et al. (2010) that allows to decompose networks’ topologies and to monitor the dynamics of small- deregulated modules. To do this, we will use data from networks with known behaviour that offer the possibility of carrying out an realistic check of respondance of the model to changes in the experimental conditions.
V. Djordjilovic, M. Chiogna, S. Massa, C. Romualdi (2013). Graphical modelling for gene set analysis: a case-study in knockout experiments.
Graphical modelling for gene set analysis: a case-study in knockout experiments
M. Chiogna;
2013
Abstract
Pathway signalling networks represent several tens of genes/proteins and their relations. It is expected that only small parts of these pathways will differ (will be deregulated) in different experimental conditions. Despite such expectation, till now the issue of local dereg- ulation of pathways does not seem to have been properly taken into consideration in the literature. In this paper, we aim to perform a critical appraisal of the methodology based on graphical models developed in Massa et al. (2010) that allows to decompose networks’ topologies and to monitor the dynamics of small- deregulated modules. To do this, we will use data from networks with known behaviour that offer the possibility of carrying out an realistic check of respondance of the model to changes in the experimental conditions.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
