Characterizing transcriptional heterogeneity through pathway and gene set overdispersion analysis View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2016-03

AUTHORS

Jean Fan, Neeraj Salathia, Rui Liu, Gwendolyn E Kaeser, Yun C Yung, Joseph L Herman, Fiona Kaper, Jian-Bing Fan, Kun Zhang, Jerold Chun, Peter V Kharchenko

ABSTRACT

The transcriptional state of a cell reflects a variety of biological factors, from cell-type-specific features to transient processes such as the cell cycle, all of which may be of interest. However, identifying such aspects from noisy single-cell RNA-seq data remains challenging. We developed pathway and gene set overdispersion analysis (PAGODA) to resolve multiple, potentially overlapping aspects of transcriptional heterogeneity by testing gene sets for coordinated variability among measured cells. More... »

PAGES

241-244

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  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1038/nmeth.3734

    DOI

    http://dx.doi.org/10.1038/nmeth.3734

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1011517405

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/26780092


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