Other packages > Find by keyword >

cellOrigins  

Finds RNASeq Source Tissues Using In Situ Hybridisation Data
View on CRAN: Click here


Download and install cellOrigins package within the R console
Install from CRAN:
install.packages("cellOrigins")

Install from Github:
library("remotes")
install_github("cran/cellOrigins")

Install by package version:
library("remotes")
install_version("cellOrigins", "0.1.3")



Attach the package and use:
library("cellOrigins")
Maintained by
David Molnar
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-06-05
Latest Update: 2020-06-05
Description:
Finds the most likely originating tissue(s) and developmental stage(s) of tissue-specific RNA sequencing data. The package identifies both pure transcriptomes and mixtures of transcriptomes. The most likely identity is found through comparisons of the sequencing data with high-throughput in situ hybridisation patterns. Typical uses are the identification of cancer cell origins, validation of cell culture strain identities, validation of single-cell transcriptomes, and validation of identity and purity of flow-sorting and dissection sequencing products.
How to cite:
David Molnar (2020). cellOrigins: Finds RNASeq Source Tissues Using In Situ Hybridisation Data. R package version 0.1.3, https://cran.r-project.org/web/packages/cellOrigins. Accessed 29 Oct. 2026.
Previous versions and publish date:
No previous versions
Other packages that cited cellOrigins R package
View cellOrigins citation profile
Other R packages that cellOrigins depends, imports, suggests or enhances
Complete documentation for cellOrigins
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

fastRG  
Sample Generalized Random Dot Product Graphs in Linear Time
Samples generalized random product graphs, a generalization of a broad class of network models. Giv ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
GEVcdn  
GEV Conditional Density Estimation Network
Implements a flexible nonlinear modelling framework for nonstationary generalized extreme value anal ...
Download / Learn more Package Citations See dependency  
binovisualfields  
Depth-Dependent Binocular Visual Fields Simulation
Simulation and visualization depth-dependent integrated visual fields. Visual fields are measured mo ...
Download / Learn more Package Citations See dependency  
personalized2part  
Two-Part Estimation of Treatment Rules for Semi-Continuous Data
Implements the methodology of Huling, Smith, and Chen (2020) , w ...
Download / Learn more Package Citations See dependency  

29,218

R Packages

247,686

Dependencies

77,281

Author Associations

29,219

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA