Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 6 of 6 for “"differential network analysis"”.
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Differential Network Analysis based on Omic Data for Cancer Biomarker Discovery
… metabolomics, glycomics etc. Typically, differential expression analysis (e.g., student's t-test, ANOVA) is performed to identify biomolecules (e.g., genes, proteins, metabolites, glycans) with significant changes on individual level between biologically disparate groups (disease cases …
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Evaluation of network inference algorithms and their effects on network analysis for the study of small metabolomic data sets
… best suited for the inference of metabolic networks from small cohort disease studies. For future benchmarking, and for the development of new metabolic network inference methods, it is similarly important to identify appropriate performance measures for small sample sizes. Results: The …
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Differential Dependency Network and Data Integration for Detecting Network Rewiring and Biomarkers
… DNA copy number data. Genes work through complex networks to support cellular processes. Dysregulated genes can cause structural changes in biological networks, also known as network rewiring. Genes with a large number of rewired edges are more likely to be associated with functional alteration …
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Machine learning enabled bioinformatics tools for analysis of biologically diverse samples
… The identification of signature genes and the analysis of differentially networked genes are two fundamental and critically important tasks. However, many current methodologies employ test statistics that don't align perfectly with the signature definition, potentially leading to the …
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Differential modeling for cancer microarray data
… novel computational approaches to identify the differential genes between two phenotypes. These approaches aim to quantitatively characterize the differences between two phenotypes and can provide better insights and understanding of various diseases. The purpose of this thesis is three-fold. …
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A multi-level approach of gene expression data analysis to investigate translatome dynamics across multiple tissues, stages, and mouse models of SMA
… perspectives, including Principal Component Analysis (PCA), pipelines for the analysis of RiboSeq positional information, differential and Gene Ontology enrichment analysis, and network methodologies. This set of tools applies to the study of ribosome profiling data and allows to investigate …