A TIME SERIES DRIVEN DECOMPOSED EVOLUTIONARY OPTIMIZATION APPROACH FOR RECONSTRUCTING LARGE-SCALE GENE REGULATORY NETWORKS BASED ON FUZZY COGNITIVE MAPS

Abstract Background Reconstructing gene regulatory networks (GRNs) from expression data plays an important role in understanding the fundamental cellular processes and revealing the underlying relations among genes.Although many algorithms have been proposed to reconstruct GRNs, more rapid and efficient methods which can handle large-scale problems

OBJECTIVES: The aim of this study was to analyze the immunolabeling of two cell cycle protein regulators, p53 and p21WAF1, in non-dysplastic leukoplakias with different epithelial alterations: acanthosis, hyperkeratosis and Upholstered Full Bed acanthosis combined with hyperkeratosis, and compare them with dysplastic leukoplakias.MATERIAL AND METHO

The selfishness and uncertainty of user behaviors in the mobile crowd sensing network make them unwilling to participate in sensing activities,which may result to a lower sensing task completion rate.To deal with these problems,an incentive mechanism based on auction model was proposed.In order to maximize the utility of each user,the proposed Upho