Papers: 10.1093/bioinformatics/btw777
https://doi.org/10.1093/bioinformatics/btw777
Scater: pre-processing, quality control, normalization and visualization of single-cell RNA-seq data in R
Cited by: 1,059
Author(s): Davis J. McCarthy, Kieran R Campbell, Aaron T. L. Lun, Quin F. Wills
Published: almost 9 years ago
Software Mentions 14
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bioconductor: edgeR
Empirical Analysis of Digital Gene Expression Data in RPapers that mentioned: 6,568
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bioconductor: scater
Single-Cell Analysis Toolkit for Gene Expression Data in RPapers that mentioned: 79
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cran: ggplot2
Create Elegant Data Visualisations Using the Grammar of GraphicsPapers that mentioned: 11,441
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cran: Rtsne
T-Distributed Stochastic Neighbor Embedding using a Barnes-Hut ImplementationPapers that mentioned: 255
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pypi: destiny
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pypi: HTSeq
A framework to process and analyze data from high-throughput sequencing (HTS) assaysPapers that mentioned: 3,071
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pypi: kallisto
The Kallisto software enables the efficient calculation of atomic features that can be used within a quantitative structure-activity relationship (QSAR) approach. Furthermore, several modelling helpers are implemented.Papers that mentioned: 307
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