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Abfrage Programm/Institut/Gruppe PSP-Element Kontakt Anhang Verwendung Publikation
Titel:

New Computational Approach Reveals Hidden Cell Subpopulations

 


Titel Pressemitteilung:

Mit Statistik Zelltypen identifizieren

New Computational Approach Reveals Hidden Cell Subpopulations

Apr 2015 ICB
SAM
G-503800-001
Büttner PDF
PM DE: PDF
PM EN: PDF
WB 2015-07-01
PR 2015-01-01
Publikation
Core statement:

Hidden cell sub-populations are detected by accounting for confounding variation in the analysis of single-cell RNA-seq data.

 


Core statement Pressemitteilung:

Neuherberg, January 20, 2015. A new computational approach allows to account for confounding factors and hidden biological processes in the analysis of single-cell RNA sequence data. Using this method, individual subpopulations and cell types can be determined more precisely and can be identified within heterogeneous cell populations. Scientists from Helmholtz Zentrum München and Technische Universität München, together with colleagues from the European Bioinformatics Institute (EBI), have now reported these findings in the journal Nature Biotechnology.

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