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Package ?chimera? February 28, 2014, Type Package Title A package for secondary analysis of fusion products Version 1.5.12 Date 2014-15-01 Author Rafael A Closer, Matteo Carrera, Marco Because, Francesca
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Chimera-Bioconductor is a computational framework for large-scale analysis of single-cell data in R. It provides a wide range of algorithms for quality control, normalization, visualization, and differential expression analysis.
Chimera-Bioconductor can be used by researchers, bioinformaticians, and statisticians who work with single-cell RNA sequencing data and need a robust and comprehensive analysis tool.
To fill out Chimera-Bioconductor, users need to install the necessary R packages and dependencies, import their single-cell RNA sequencing data, and then run the appropriate functions and algorithms provided by the Chimera-Bioconductor framework.
The purpose of Chimera-Bioconductor is to enable researchers to perform advanced analysis of single-cell RNA sequencing data, including quality control, normalization, visualization, and differential expression analysis, in an efficient and reproducible manner.
The information that needs to be reported on Chimera-Bioconductor depends on the specific analysis being performed. Generally, users need to provide their single-cell RNA sequencing data, including gene expression levels, cell metadata, and experimental design information.
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