Search Results - "Knijnenburg, Theo A."

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    A deep generative model of 3D single-cell organization by Donovan-Maiye, Rory M, Brown, Jackson M, Chan, Caleb K, Ding, Liya, Yan, Calysta, Gaudreault, Nathalie, Theriot, Julie A, Maleckar, Mary M, Knijnenburg, Theo A, Johnson, Gregory R

    Published in PLoS computational biology (01-01-2022)
    “…We introduce a framework for end-to-end integrative modeling of 3D single-cell multi-channel fluorescent image data of diverse subcellular structures. We…”
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    Fewer permutations, more accurate P-values by Knijnenburg, Theo A., Wessels, Lodewyk F. A., Reinders, Marcel J. T., Shmulevich, Ilya

    Published in Bioinformatics (15-06-2009)
    “…Motivation: Permutation tests have become a standard tool to assess the statistical significance of an event under investigation. The statistical significance,…”
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    Multiscale mutation clustering algorithm identifies pan-cancer mutational clusters associated with pathway-level changes in gene expression by Poole, William, Leinonen, Kalle, Shmulevich, Ilya, Knijnenburg, Theo A, Bernard, Brady

    Published in PLoS computational biology (01-02-2017)
    “…Cancer researchers have long recognized that somatic mutations are not uniformly distributed within genes. However, most approaches for identifying cancer…”
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    SMARCE1 suppresses EGFR expression and controls responses to MET and ALK inhibitors in lung cancer by Papadakis, Andreas I, Sun, Chong, Knijnenburg, Theo A, Xue, Yibo, Grernrum, Wipawadee, Hölzel, Michael, Nijkamp, Wouter, Wessels, Lodewyk FA, Beijersbergen, Roderick L, Bernards, Rene, Huang, Sidong

    Published in Cell research (01-04-2015)
    “…Recurrent inactivating mutations in components of SWI/SNF chromatin-remodeling complexes have been identified across cancer types, supporting their roles as…”
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    Identifying novel transcription factors involved in the inflammatory response by using binding site motif scanning in genomic regions defined by histone acetylation by Askovich, Peter S, Ramsey, Stephen A, Diercks, Alan H, Kennedy, Kathleen A, Knijnenburg, Theo A, Aderem, Alan

    Published in PloS one (18-09-2017)
    “…The innate immune response to pathogenic challenge is a complex, multi-staged process involving thousands of genes. While numerous transcription factors that…”
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    Identifying Personalized Metabolic Signatures in Breast Cancer by Baloni, Priyanka, Dinalankara, Wikum, Earls, John C, Knijnenburg, Theo A, Geman, Donald, Marchionni, Luigi, Price, Nathan D

    Published in Metabolites (30-12-2020)
    “…Cancer cells are adept at reprogramming energy metabolism, and the precise manifestation of this metabolic reprogramming exhibits heterogeneity across…”
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    CloudForest: A Scalable and Efficient Random Forest Implementation for Biological Data by Bressler, Ryan, Kreisberg, Richard B, Bernard, Brady, Niederhuber, John E, Vockley, Joseph G, Shmulevich, Ilya, Knijnenburg, Theo A

    Published in PloS one (17-12-2015)
    “…Random Forest has become a standard data analysis tool in computational biology. However, extensions to existing implementations are often necessary to handle…”
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    Combining dependent P-values with an empirical adaptation of Brown's method by Poole, William, Gibbs, David L, Shmulevich, Ilya, Bernard, Brady, Knijnenburg, Theo A

    Published in Bioinformatics (Oxford, England) (01-09-2016)
    “…Combining P-values from multiple statistical tests is a common exercise in bioinformatics. However, this procedure is non-trivial for dependent P-values. Here,…”
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    A regression model approach to enable cell morphology correction in high‐throughput flow cytometry by Knijnenburg, Theo A, Roda, Oriol, Wan, Yakun, Nolan, Garry P, Aitchison, John D, Shmulevich, Ilya

    Published in Molecular systems biology (27-09-2011)
    “…Cells exposed to stimuli exhibit a wide range of responses ensuring phenotypic variability across the population. Such single cell behavior is often examined…”
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    Integrative modeling identifies genetic ancestry-associated molecular correlates in human cancer by Robertson, A. Gordon, Yau, Christina, Carrot-Zhang, Jian, Damrauer, Jeffrey S., Knijnenburg, Theo A., Chambwe, Nyasha, Hoadley, Katherine A., Kemal, Anab, Zenklusen, Jean C., Cherniack, Andrew D., Beroukhim, Rameen, Zhou, Wanding

    Published in STAR protocols (18-06-2021)
    “…Cellular and molecular aberrations contribute to the disparity of human cancer incidence and etiology between ancestry groups. Multiomics profiling in The…”
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    EPEPT: a web service for enhanced P-value estimation in permutation tests by Knijnenburg, Theo A, Lin, Jake, Rovira, Hector, Boyle, John, Shmulevich, Ilya

    Published in BMC bioinformatics (24-10-2011)
    “…In computational biology, permutation tests have become a widely used tool to assess the statistical significance of an event under investigation. However, the…”
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    Genome-wide analysis of effectors of peroxisome biogenesis by Saleem, Ramsey A, Long-O'Donnell, Rose, Dilworth, David J, Armstrong, Abraham M, Jamakhandi, Arvind P, Wan, Yakun, Knijnenburg, Theo A, Niemistö, Antti, Boyle, John, Rachubinski, Richard A, Shmulevich, Ilya, Aitchison, John D

    Published in PloS one (04-08-2010)
    “…Peroxisomes are intracellular organelles that house a number of diverse metabolic processes, notably those required for beta-oxidation of fatty acids…”
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