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BisqueRNA
View on CRAN: Click
here
Download and install BisqueRNA package within the R console
Install from CRAN:
install.packages("BisqueRNA")
Install from Github:
library("remotes")
install_github("cran/BisqueRNA") Install by package version:
library("remotes")
install_version("BisqueRNA", "1.0.5") Attach the package and use:
library("BisqueRNA")
Maintained by
Brandon Jew
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-06-19
Latest Update:
Description:
Provides tools to accurately estimate cell type abundances
from heterogeneous bulk expression. A reference-based method utilizes
single-cell information to generate a signature matrix and transformation
of bulk expression for accurate regression based estimates. A marker-based
method utilizes known cell-specific marker genes to measure relative
abundances across samples.
For more details, see Jew and Alvarez et al (2019) .
How to cite:
Brandon Jew (2019). BisqueRNA: Decomposition of Bulk Expression with Single-Cell Sequencing. R package version 1.0.5, https://cran.r-project.org/web/packages/BisqueRNA. Accessed 08 Oct. 2026.
Previous versions and publish date:
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imports, suggests or enhances
Complete documentation for BisqueRNA
Functions, R codes and Examples using
the BisqueRNA R package
Some associated functions: CalculateSCCellProportions . CorTri . CountsToCPM . EstimatePCACellTypeProportions . FilterUnexpressedGenes . FilterZeroVarianceGenes . GenerateSCReference . GetCTP . GetNumGenes . GetNumGenesWeighted . GetOverlappingGenes . GetOverlappingSamples . GetUniqueMarkers . MarkerBasedDecomposition . ReferenceBasedDecomposition . SemisupervisedTransformBulk . SeuratToExpressionSet . SimulateBarcode . SimulateData . SupervisedTransformBulk .
Some associated R codes: marker_based.R . reference_based.R . simulation.R . utils.R . Full BisqueRNA package functions and examples
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