In the omic era, one of the main aims is to discover groups of functionally related genes that drive the difference between different conditions. To this end, a plethora of potentially useful multivariate statistical approaches has been proposed, but their evaluation is hindered by the absence of a gold standard. Here, we propose a method for simulating biological data - gene expression, RPKM/FPKM or protein abundances - from two conditions, namely, a reference condition and a perturbation of it. Our approach is built upon probabilistic graphical models and is thus especially suited for testing topological approaches.
Djordjilovic V. [Writing – Original Draft Preparation]
|Data di pubblicazione:||2017|
|Titolo:||simPATHy: a new method for simulating data from perturbed biological PATHways|
|Digital Object Identifier (DOI):||http://dx.doi.org/10.1093/bioinformatics/btw642|
|Appare nelle tipologie:||2.1 Articolo su rivista |