Search Results - "Knijnenburg, Theo A."
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A deep generative model of 3D single-cell organization
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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Epigenetic profiling for the molecular classification of metastatic brain tumors
Published in Nature communications (06-11-2018)“…Optimal treatment of brain metastases is often hindered by limitations in diagnostic capabilities. To meet this challenge, here we profile DNA methylomes of…”
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Fewer permutations, more accurate P-values
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
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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5
Loss of ARID1A Activates ANXA1, which Serves as a Predictive Biomarker for Trastuzumab Resistance
Published in Clinical cancer research (01-11-2016)“…Despite the substantial progress in the development of targeted anticancer drugs, treatment failure due to primary or acquired resistance is still a major…”
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SMARCE1 suppresses EGFR expression and controls responses to MET and ALK inhibitors in lung cancer
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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7
Identifying novel transcription factors involved in the inflammatory response by using binding site motif scanning in genomic regions defined by histone acetylation
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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8
Identifying Personalized Metabolic Signatures in Breast Cancer
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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Systematic measurement of transcription factor-DNA interactions by targeted mass spectrometry identifies candidate gene regulatory proteins
Published in Proceedings of the National Academy of Sciences - PNAS (26-02-2013)“…Regulation of gene expression involves the orchestrated interaction of a large number of proteins with transcriptional regulatory elements in the context of…”
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CloudForest: A Scalable and Efficient Random Forest Implementation for Biological Data
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
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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Quantitative proteomics and transcriptomics of anaerobic and aerobic yeast cultures reveals post-transcriptional regulation of key cellular processes
Published in Microbiology (Society for General Microbiology) (01-11-2007)“…1 Department of Biomolecular Mass Spectrometry, Bijvoet Center for Biomolecular Research and Utrecht Institute for Pharmaceutical Sciences, Utrecht University,…”
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A regression model approach to enable cell morphology correction in high‐throughput flow cytometry
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
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
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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A Landscape of Pharmacogenomic Interactions in Cancer
Published in Cell (28-07-2016)“…Systematic studies of cancer genomes have provided unprecedented insights into the molecular nature of cancer. Using this information to guide the development…”
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Comprehensive Analysis of Genetic Ancestry and Its Molecular Correlates in Cancer
Published in Cancer cell (11-05-2020)“…We evaluated ancestry effects on mutation rates, DNA methylation, and mRNA and miRNA expression among 10,678 patients across 33 cancer types from The Cancer…”
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Combinatorial effects of environmental parameters on transcriptional regulation in Saccharomyces cerevisiae: a quantitative analysis of a compendium of chemostat-based transcriptome data
Published in BMC genomics (27-01-2009)“…Microorganisms adapt their transcriptome by integrating multiple chemical and physical signals from their environment. Shake-flask cultivation does not allow…”
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Physiological and Transcriptional Responses of Saccharomyces cerevisiae to Zinc Limitation in Chemostat Cultures
Published in Applied and Environmental Microbiology (01-12-2007)“…Transcriptional responses of the yeast Saccharomyces cerevisiae to Zn availability were investigated at a fixed specific growth rate under limiting and…”
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Genome-wide analysis of effectors of peroxisome biogenesis
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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