Constraint-based analysis of gene interactions using restricted boolean networks and time-series data

Abstract Background A popular model for gene regulatory networks is the Boolean network model. In this paper, we propose an algorithm to perform an analysis of gene regulatory interactions using the Boolean network model and time-series data. Actually, the Boolean network is restricted in the sense that only a subset of all possible Boolean functions are considered. We explore some mathematical properties of the restricted Boolean networks in order to avoid the full search approach. The problem is modeled as a Constraint Satisfaction Problem (CSP) and CSP techniques are used to solve it. Results We applied the proposed algorithm in two data sets. First, we used an artificial dataset obtained from a model for the budding yeast cell cycle. The second data set is derived from experiments performed using HeLa cells. The results show that some interactions can be fully or, at least, partially determined under the Boolean model considered. Conclusions The algorithm proposed can be used as a first step for detection of gene/protein interactions. It is able to infer gene relationships from time-series data of gene expression, and this inference process can be aided by a priori knowledge available.

Antecedents of the Intent to Recommend: a problem with fast food restaurants

The fast and strong social and economic transformations in the economies of many countries has raised the competition for consumers. One of the elements required to adapt to such scenario is knowing customers and their perceptions about products or services, mainly regarding word of mouth recommendations. This study adapts, to the fast food business, a model originally designed to analyze the antecedents of the intent to recommend by clients of formal restaurants. Three constructs were considered: service quality, satisfaction, and social well-being, the latter comprised of positive and negative affections. Six hypotheses were considered, three of which relating to social well-being (that it influences satisfaction, service quality, and the intent to recommend), two relating to service quality (that in influences the intent to recommend and satisfaction), and one relating to the influence of satisfaction on the intent to recommend. None was rejected, indicating adherence and adjustment of the simplication and adaptation of the consolidated model. Through a successful empirical application, the main contribution made by this research is the simplification of a model through its application in a similar context, but with a different scope.