J
Jiuyong Li
Researcher at University of South Australia
Publications - 335
Citations - 6808
Jiuyong Li is an academic researcher from University of South Australia. The author has contributed to research in topics: Computer science & Association rule learning. The author has an hindex of 38, co-authored 285 publications receiving 5280 citations. Previous affiliations of Jiuyong Li include Kunming University of Science and Technology & Griffith University.
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Discovering Markov Blanket from Multiple interventional Datasets.
Kui Yu,Lin Liu,Jiuyong Li +2 more
TL;DR: This work is the first to present the theoretical analyses about the conditions for MB discovery in multiple interventional datasets and the algorithm to find the MBs in relation to the conditions and present the conditions/assumptions which assure the correctness of the algorithm.
Journal ArticleDOI
Uncovering the roles of microRNAs/lncRNAs in characterising breast cancer subtypes and prognosis.
TL;DR: Results show that integrating miRNA expression data helps improve the performance of the mRNA-based cancer subtyping methods, however, miRNA signatures are not as good as mRNA signatures for breast cancer prognosis, and the prognostic roles of miRNA/lncRNA signatures needs to be further verified.
Book ChapterDOI
Discovering Collective Group Relationships
TL;DR: This paper defines the notation of collective group relationships (CGRs) between two sets of individual components and proposes a method to discover CGRs from heterogeneous datasets that integrates canonical correlation analysis (CCA) with graph mining to find top-k C GRs.
Journal ArticleDOI
Commonly expressed key transcriptomic profiles of sepsis in the human circulation and brain via integrated analysis.
TL;DR: In this paper , the differential effect of sepsis on specific circulating immune cell subsets compared with brain transcriptome and identify the genes co-expressed by them, so as to identify key genes and regulatory factors involved in the pathogenesis of septic induced brain injury and identify novel therapeutic targets.
Journal ArticleDOI
Access Time Oracle for Planar Graphs
TL;DR: This work proposes the first access time oracle which is based on the proposed access time decomposition and reconstruction scheme and is a hierarchical data structure with deliberate design on the relationships between different hierarchical levels.