[ 源代码: r-bioc-singler ]
软件包:r-bioc-singler(2.0.0+ds-1)
r-bioc-singler 的相关链接
Debian 的资源:
下载源码包 r-bioc-singler:
- [r-bioc-singler_2.0.0+ds-1.dsc]
- [r-bioc-singler_2.0.0+ds.orig.tar.xz]
- [r-bioc-singler_2.0.0+ds-1.debian.tar.xz]
维护小组:
外部的资源:
- 主页 [bioconductor.org]
相似软件包:
BioConductor reference-based single-cell RNA-Seq annotation
Performs unbiased cell type recognition from single-cell RNA sequencing data, by leveraging reference transcriptomic datasets of pure cell types to infer the cell of origin of each single cell independently.
其他与 r-bioc-singler 有关的软件包
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- dep: libc6 (>= 2.32)
- GNU C 语言运行库:共享库
同时作为一个虚包由这些包填实: libc6-udeb
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- dep: libgcc-s1 (>= 3.0) [除 armel, armhf, i386, mipsel]
- GCC 支持库
- dep: libgcc-s1 (>= 3.5) [armel, armhf]
- dep: libgcc-s1 (>= 4.2) [i386, mipsel]
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- dep: libstdc++6 (>= 12)
- GNU 标准 C++ 库,第3版
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- dep: r-api-4.0
- 本虚包由这些包填实: r-base-core
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- dep: r-api-bioc-3.16
- 本虚包由这些包填实: r-bioc-biocgenerics
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- dep: r-base-core (>= 4.2.2.20221110-1)
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- dep: r-bioc-biocparallel
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- rec: r-bioc-scran
- BioConductor methods for single-cell RNA-Seq data analysis
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- rec: r-bioc-singlecellexperiment
- S4 Classes for Single Cell Data
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- rec: r-cran-pheatmap
- GNU R package to create pretty heatmaps
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- rec: r-cran-testthat
- GNU R testsuite
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- sug: r-bioc-biocgenerics
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- sug: r-cran-knitr
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- sug: r-cran-rmarkdown
- convert R markdown documents into a variety of formats
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- sug: r-cran-viridis
- GNU R package for color maps from matplotlib
下载 r-bioc-singler
硬件架构 | 软件包大小 | 安装后大小 | 文件 |
---|---|---|---|
amd64 | 390.5 kB | 1,064.0 kB | [文件列表] |
arm64 | 366.7 kB | 1,040.0 kB | [文件列表] |
armel | 363.0 kB | 975.0 kB | [文件列表] |
armhf | 361.3 kB | 846.0 kB | [文件列表] |
i386 | 401.0 kB | 1,078.0 kB | [文件列表] |
mips64el | 363.8 kB | 1,259.0 kB | [文件列表] |
mipsel | 362.5 kB | 1,195.0 kB | [文件列表] |
ppc64el | 397.3 kB | 1,232.0 kB | [文件列表] |
s390x | 377.7 kB | 1,100.0 kB | [文件列表] |