SPARSim single cell: a count data simulator for scRNA-seq data
Author:
Affiliation:
1. Department of Information Engineering, University of Padova, Padova, Italy
2. Microbial Ecology Unit, Istituto Zooprofilattico Sperimentale delle Venezie, Padova, Italy
3. CRIBI Innovative Biotechnology Center, University of Padova, Padova, Italy
Abstract
Funder
PROACTIVE 2017 ‘From Single-Cell to Multi-Cells Information Systems Analysis’
Department of Information Engineering, University of Padova
Publisher
Oxford University Press (OUP)
Subject
Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability
Link
http://academic.oup.com/bioinformatics/advance-article-pdf/doi/10.1093/bioinformatics/btz752/30350397/btz752.pdf
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4. Delineating biological and technical variance in single cell expression data;Arzalluz-Luque;Int. J. Biochem. Cell Biol,2017
5. SCnorm: robust normalization of single-cell RNA-seq data;Bacher;Nat. Methods,2017
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