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Showing 1 to 7 of 7 for “"Gene network inference"”.

  1. Causal Gene Network Inference from Genetical Genomics Experiments via Structural Equation Modeling

    The goal of this research is to construct causal gene networks for genetical genomics experiments using expression Quantitative Trait Loci (eQTL) mapping and Structural Equation Modeling (SEM). Unlike Bayesian Networks, this approach is able to construct cyclic networks, while cyclic relationships …

    vt Repository record for Causal Gene Network Inference from Genetical Genomics Experiments via Structural Equation Modeling (opens in a new tab)

  2. Development and evaluation of machine learning algorithms for biomedical applications

    Gene network inference and drug response prediction are two important problems in computational biomedicine. The former helps scientists better understand the functional elements and regulatory circuits of cells. The latter helps a physician gain full understanding of the effective treatment on …

    njit Repository record for Development and evaluation of machine learning algorithms for biomedical applications (opens in a new tab)

  3. 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 …

    njit Repository record for Unsupervised gene regulatory network inference on microarray data (opens in a new tab)

  4. Big data analytics in computational biology and bioinformatics

    … pattern discovery, classification, prediction, inference, clustering as well as data mining in the cloud, among others. This dissertation addresses big data analytics by investigating two important operations, namely pattern discovery and network inference. The dissertation starts by focusing on …

    njit Repository record for Big data analytics in computational biology and bioinformatics (opens in a new tab)

  5. Understanding transcriptional regulation through computational analysis of single-cell transcriptomics

    Gene expression is tightly regulated by complex transcriptional regulatory mechanisms to achieve specific expression patterns, which are essential to facilitate important biological processes such as embryonic development. Dysregulation of gene expression can lead to diseases such as cancers. A …

    cambridge Repository record for Understanding transcriptional regulation through computational analysis of single-cell transcriptomics (opens in a new tab)

  6. Simulation and identification of gene regulatory networks

    Gene regulatory networks are a well-established model to represent the functioning, at gene level, of utterly elaborated biological networks. Studying and understanding such models of gene communication might enable researchers to rightly address costly laboratory experiments, e.g. by selecting a …

    cagliari Repository record for Simulation and identification of gene regulatory networks (opens in a new tab)

  7. Study of genetic by environmental interactions at transcriptomic and genomic levels

    … animals are resulted by the interaction between genes and environment. For example, animals from distinct breeds may have different nutritional requirements, and thus, may respond in a particular way for each diet. In a similar fashion, genetic variability in the human population is responsible …

    uiuc Repository record for Study of genetic by environmental interactions at transcriptomic and genomic levels (opens in a new tab)