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 8 of 8 for “"gene regulatory network inference"”.
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Towards causality in gene regulatory network inference
… the coordination of biomolecules that underlies gene regulation is key to gaining mechanistic insights into cellular functions, phenotypes, and diseases. Advances in single-cell technologies promise to unveil mechanisms of gene regulation at unprecedented resolution by enabling measurements of …
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Unsupervised gene regulatory network inference on microarray data
Obtaining gene regulatory networks (GRNs) from expression data is a challenging and crucial task. Many computational methods and algorithms have been developed to infer gene networks for gene expression data, which are usually obtained from microarray experiments. A gene network is a method to …
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Systems analysis of Crassulacean acid metabolism (CAM) physiology and molecular biology
The main theme of this thesis was to explore the regulatory landscape of CAM using systems biology approaches. The scope of the regulatory landscape was drawn around the mesophyll metabolism of the dicotyledonous obligate CAM genus, *Kalanchoe*, even though the computational frameworks that had …
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Mathematical modeling of macronutrient signaling in Saccharomyces cerevisiae
… as the large degree of overlap between their regulatory targets. In the budding yeast Saccharomyces cerevisiae, these distinct pathways have been well characterized. However, the significant overlap between these pathways confounds the interpretation of the overall regulatory logic in terms of …
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Machine Learning Methods for High Throughput Biological Data
… a pivotal tool in the analysis of datasets generated from high-throughput biological omics experiments. However, omics data introduces distinctive algorithmic challenges that set it apart from other domains where machine learning is applied. These challenges encompass issues such as limited …
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Associative Pattern Recognition for Biological Regulation Data
… recognizing associative patterns between genes, transcription factors, histone modifications and functional labels using heterogeneous data sources (numeric, sequences, time series data and textual labels). </p> <p>In protein-DNA associative pattern recognition, we introduce an efficient …
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Algorithms for regulatory network inference and experiment planning in systems biology
… arises in the context of planning large-scale genetic cross experiments that can be used to validate predictions of multigenic perturbations made by mathematical models. (i) I present CrossPlan, a novel methodology for systematically planning genetic crosses to make a set of target mutants from …
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DeTangle: A Framework for Interactive Prediction and Visualization of Gene Regulatory Networks
… of biological data, computational prediction of gene regulatory networks (GRNs) from gene expression data has become more feasible. Although incorporating other prior knowledge (PK), along with gene expression, greatly improves prediction accuracy, the accuracy remains low. PK in GRN inference …