• Causal Disturbance Analysis: A Novel Graph Centrality Based Method for Pathway Enrichment Analysis

    19 days ago - By IEEE/ACM

    Pathway enrichment analysis models are the premier methods for interpreting gene expression profiles from high-throughput experiments. PEM often use a priori background knowledge to infer the underlying biological functions and mechanisms. A shortcoming of standard PEM is their disregarding of interactions for simplicity, which potentially results in partial and inaccurate inference. In this study, we introduce a graph-based PEM, namely Causal Disturbance Analysis , that leverages gene interactions to quantify the topological importance of genes' expression profiles in pathways...
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  • A Novel Edge Effect Detection Method for Real-Time Cellular Analyzer Using Functional Principal Component Analysis

    19 days ago - By IEEE/ACM

    Real-time cellular analyzer has been generally applied to test the cytotoxicity of chemicals. However, several factors impact the experimental quality. A non-negligible factor is the abnormal time-dependent cellular response curves of the wells located at the edge of the E-plate which is defined as edge effect. In this paper, a novel statistical analysis is proposed to detect the edge effect. First, TCRCs are considered as observations of a random variable in a functional space. Then, functional principal component analysis is adopted to extract the principal component functions of the...
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