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  Deciphering cellular heterogeneity by single-cell transcriptome analysis

Ly, L.-H. (2022). Deciphering cellular heterogeneity by single-cell transcriptome analysis. PhD Thesis. doi:10.17169/refubium-35711.

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 Creators:
Ly, Lam-Ha1, 2, Author           
Vingron, Martin3, Referee                 
Affiliations:
1IMPRS for Biology and Computation (Anne-Dominique Gindrat), Dept. of Computational Molecular Biology (Head: Martin Vingron), Max Planck Institute for Molecular Genetics, Max Planck Society, ou_1479666              
2Fachbereich Mathematik und Informatik der Freien Universität Berlin, ou_persistent22              
3Transcriptional Regulation (Martin Vingron), Dept. of Computational Molecular Biology (Head: Martin Vingron), Max Planck Institute for Molecular Genetics, Max Planck Society, ou_1479639              

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Free keywords: single-cell RNA-seq single-cell analysis gene regulatory network reconstruction imputation cellular heterogeneity
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Language(s): eng - English
 Dates: 20222022-11-28
 Publication Status: Published online
 Pages: xiii, 131 S.
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Degree: PhD

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