The regulatory interactions in a cell form a complicated system, and an important goal of systems biology is to model and infer these interactions. The modeling and inference of genetic regulatory models requires understanding of the true biological interactions while incorporating the technological limitations on observation of the biological entities in estimation of a robust model. This review is structured as follows: (a) a brief description of the biological interactions is provided, (b) currently available technologies for measuring genomic characterizations are outlined, (c) followed by the description of the commonly used approaches for genetic regulatory network modeling, and (d) finally, some of the pertinent issues in modeling and inference of genetic interactions are discussed. WIREs Data Mining Knowl Discov 2013, 3:453-466. doi: 10.1002/widm.1103 The author has declared no conflicts of interest in relation to this article. For further resources related to this article, please visit the WIREs website.
|Number of pages||14|
|Journal||Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery|
|State||Published - Nov 2013|