TY - JOUR AU - Hansen, Matthew AU - Everett, Logan AU - Singh, Larry AU - Hannenhalli, Sridhar PY - 2010 DA - 2010/01/04 TI - Mimosa: Mixture model of co-expression to detect modulators of regulatory interaction JO - Algorithms for Molecular Biology SP - 4 VL - 5 IS - 1 AB - Functionally related genes tend to be correlated in their expression patterns across multiple conditions and/or tissue-types. Thus co-expression networks are often used to investigate functional groups of genes. In particular, when one of the genes is a transcription factor (TF), the co-expression-based interaction is interpreted, with caution, as a direct regulatory interaction. However, any particular TF, and more importantly, any particular regulatory interaction, is likely to be active only in a subset of experimental conditions. Moreover, the subset of expression samples where the regulatory interaction holds may be marked by presence or absence of a modifier gene, such as an enzyme that post-translationally modifies the TF. Such subtlety of regulatory interactions is overlooked when one computes an overall expression correlation. SN - 1748-7188 UR - https://doi.org/10.1186/1748-7188-5-4 DO - 10.1186/1748-7188-5-4 ID - Hansen2010 ER -