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Citations per year

Number of citations per year for the bioinformatics software tool GRM
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GRM specifications

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Unique identifier OMICS_07585
Name GRM
Software type Package/Module
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux, Mac OS, Windows
Programming languages R
Computer skills Advanced
Version 0.1
Stability Stable
Maintained Yes

Versioning


No version available

Maintainer


  • person_outline Wei Wang

Publication for GRM

GRM citations

 (2)
library_books

Assessment of Single Cell RNA Seq Normalization Methods

2017
PMCID: 5499114
PMID: 28468817
DOI: 10.1534/g3.117.040683

[…] We next evaluated the performance of two methods considering ERCCs: RUVg (RUV model considering ERCC) () and GRM () (see Materials and Methods for the details of the setup for running each method). Among the 120 RNA-seq runs, 45 samples containing spike-in ERCCs were normalized using the two methods, and the […]

library_books

Single Cell Transcriptomics Bioinformatics and Computational Challenges

2016
Front Genet
PMCID: 5030210
PMID: 27708664
DOI: 10.3389/fgene.2016.00163

[…] ts the abundance difference of transcripts or genes between the cells. When experiments are designed with ERCC spike-ins, ERCC can be used as internal controls and serve as anchors for normalization. GRM is a scRNA-seq normalization tool fitting a Gamma Regression Model between the reads (FPKM, RPKM, TPM) and spike-ins (Ding et al., ). The trained model is then used to estimate gene expression fro […]


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GRM institution(s)
Department of Chemistry and Biochemistry, University of California, La Jolla, CA, USA

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