Search Results - "Wiwie, Christian"

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  1. 1

    Un-biased housekeeping gene panel selection for high-validity gene expression analysis by Casas, Ana I., Hassan, Ahmed A., Manz, Quirin, Wiwie, Christian, Kleikers, Pamela, Egea, Javier, López, Manuela G., List, Markus, Baumbach, Jan, Schmidt, Harald H. H. W.

    Published in Scientific reports (19-07-2022)
    “…Differential gene expression normalised to a single housekeeping (HK) is used to identify disease mechanisms and therapeutic targets. HK gene selection is…”
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    Journal Article
  2. 2

    Comparing the performance of biomedical clustering methods by Wiwie, Christian, Baumbach, Jan, Röttger, Richard

    Published in Nature methods (01-11-2015)
    “…This analysis compares 13 clustering methods on 24 data sets using the freely accessible ClustEval platform and presents guidelines for how to choose tools and…”
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  3. 3
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    Guiding biomedical clustering with ClustEval by Wiwie, Christian, Baumbach, Jan, Röttger, Richard

    Published in Nature protocols (01-06-2018)
    “…Clustering is an important first step in discovering groups of similar objects in large datasets. ClustEval can be used to find data clusters using multiple…”
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  5. 5

    ON THE POWER AND LIMITS OF SEQUENCE SIMILARITY BASED CLUSTERING OF PROTEINS INTO FAMILIES by Wiwie, Christian, Röttger, Richard

    “…Over the last decades, we have observed an ongoing tremendous growth of available sequencing data fueled by the advancements in wet-lab technology. The…”
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  6. 6

    Massive fungal biodiversity data re-annotation with multi-level clustering by Vu, Duong, Szöke, Szániszló, Wiwie, Christian, Baumbach, Jan, Cardinali, Gianluigi, Röttger, Richard, Robert, Vincent

    Published in Scientific reports (30-10-2014)
    “…With the availability of newer and cheaper sequencing methods, genomic data are being generated at an increasingly fast pace. In spite of the high degree of…”
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    TiCoNE 2: A Composite Clustering Model for Robust Cluster Analyses on Noisy Data by Wiwie, Christian, Röttger, Richard, Baumbach, Jan

    Published 28-04-2019
    “…Identifying groups of similar objects using clustering approaches is one of the most frequently employed first steps in exploratory biomedical data analysis…”
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  9. 9

    Elucidation of time-dependent systems biology cell response patterns with time course network enrichment by Wiwie, Christian, Rauch, Alexander, Haakonsson, Anders, Barrio-Hernandez, Inigo, Blagoev, Blagoy, Mandrup, Susanne, Röttger, Richard, Baumbach, Jan

    Published 27-10-2017
    “…Advances in OMICS technologies emerged both massive expression data sets and huge networks modelling the molecular interplay of genes, RNAs, proteins and…”
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