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CACIMAR
View on CRAN: Click
here
Download and install CACIMAR package within the R console
Install from CRAN:
install.packages("CACIMAR")
Install from Github:
library("remotes")
install_github("cran/CACIMAR")
Install by package version:
library("remotes")
install_version("CACIMAR", "1.0.0")
Attach the package and use:
library("CACIMAR")
Maintained by
Junyao Jiang
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-05-18
Latest Update: 2022-05-18
Description:
A toolkit to perform cross-species analysis based on scRNA-seq data. This package contains 5 main features. (1) identify Markers in each cluster. (2) Cell type annotation (3) identify conserved markers. (4) identify conserved cell types. (5) identify conserved modules of regulatory networks.
How to cite:
Junyao Jiang (2022). CACIMAR: Cross-Species Analysis of Cell Identities, Markers and Regulations. R package version 1.0.0, https://cran.r-project.org/web/packages/CACIMAR. Accessed 31 Jan. 2025.
Previous versions and publish date:
No previous versions
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Other R packages that CACIMAR depends,
imports, suggests or enhances
Complete documentation for CACIMAR
Functions, R codes and Examples using
the CACIMAR R package
Some associated functions: CACIMAR_cols . Format_Markers_Frac . Heatmap_Cor . Identify_CellType . Identify_ConservedCellTypes . Identify_ConservedMarkers . Identify_ConservedNetworks . Identify_Markers . OrthG_Hs_Ch . OrthG_Hs_Mm . OrthG_Hs_Zf . OrthG_Mm_Ch . OrthG_Mm_Zf . OrthG_Zf_Ch . Plot_MarkersHeatmap .
Some associated R codes: CSNetworks.R . CellTypeFraction.R . Identify_CellType.R . Identify_Markers.R . Identify_markers_preprocess.R . Sort_MarkersPower.R . cross-species_markers.R . plot.R . validation.R . Full CACIMAR package functions and examples
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