Showing 1 - 2 results of 2 for search 'sc-eQTLGen Consortium', query time: 0.02s Refine Results
  1. 1
    Demuxafy: improvement in droplet assignment by integrating multiple single-cell demultiplexing and doublet detection methods

    Demuxafy: improvement in droplet assignment by integrating multiple single-cell demultiplexing and doublet detection methods by Drew Neavin, Anne Senabouth, Himanshi Arora, Jimmy Tsz Hang Lee, Aida Ripoll-Cladellas, sc-eQTLGen Consortium, Lude Franke, Shyam Prabhakar, Chun Jimmie Ye, Davis J. McCarthy, Marta Melé, Martin Hemberg, Joseph E. Powell

    Published 2024-04-01
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    Article
  2. 2
    Identification of genetic variants that impact gene co-expression relationships using large-scale single-cell data

    Identification of genetic variants that impact gene co-expression relationships using large-scale single-cell data by Shuang Li, Katharina T. Schmid, Dylan H. de Vries, Maryna Korshevniuk, Corinna Losert, Roy Oelen, Irene V. van Blokland, BIOS Consortium, sc-eQTLgen Consortium, Hilde E. Groot, Morris A. Swertz, Pim van der Harst, Harm-Jan Westra, Monique G.P. van der Wijst, Matthias Heinig, Lude Franke

    Published 2023-04-01
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    Article

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