软件快照: https://github.com/yuqiuzhou/Pianno
官网快照
软件介绍:Pianno提供了一个用于空间转录组学无监督语义概率注释的框架,软件可以根据生物标记基因实现自动注释空间转录组学中Spot的生物学特性。经测试,该软件效果一般优于SpaGCN、GraphST、STAGATE ... 等主流注释框架 Pianno: a probabilistic framework automating semantic annotation for spatial transcriptomics | Nature Communications
:
大脑皮层组织的无监督注释效果对比
部署环境:Windows WSL, Ubuntu 22.04.3 LTS (GNU/Linux 4.4.0-19041-Microsoft x86_64)
Author : 西瓜丁
1. 官方的安装策略
# create an environment called Pianno
conda create -n Pianno python=3.9.10
# activate your environment
conda activate Pianno
# install R in the Pianno environment
conda install -c conda-forge r-base=4.1.1
# install tensorflow and tensorflow-probability
# ensure the version 2 of tensorflow
pip install tensorflow-gpu==2.6.0
pip install tensorflow-probability==0.14.0
# install pianno from PyPi
pip install pianno
2. 本地安装过程中的异常与解决方案记录
2.1 无法从Conda标准库获取Python( python=3.9.10)
conda create -n Pianno python=3.9.10
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PackagesNotFoundError: The following packages are not available from current channels:
- python=3.9.10*
解决方案: 添加conda-forge 源,获取python=3.9.10
conda config --append channels conda-forge
2.2 tensorflow-gpu 的下载异常
pip install tensorflow-gpu==2.6.0
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pip._vendor.urllib3.exceptions.ReadTimeoutError: HTTPSConnectionPool(host='files.pythonhosted.org', port=443): Read timed out.
解决方案: 从国内站点拉取软件资源
pip install tensorflow-gpu==2.6.0 -i https://pypi.mirrors.ustc.edu.cn/simple
2.3 rpy2 无法通过pip拉取
pip install pianno
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Collecting rpy2>=3.4.5 (from pianno)
Downloading rpy2-3.5.16.tar.gz (220 kB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 220.0/220.0 kB 6.1 kB/s eta 0:00:00
Installing build dependencies ... error
error: subprocess-exited-with-error
× pip subprocess to install build dependencies did not run successfully.
│ exit code: 2
╰─> [64 lines of output]
解决方案:从Conda 配置该软件 conda install -c r rpy2
2.4 配置Scanpy和Squidpy两个依赖库
pip install scanpy squidpy
安装好后继续加载提示缺少系统缺少OpenGL库:
import pianno as po
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ImportError: libGL.so.1: cannot open shared object file: No such file or directory
解决方案:sudo apt install libgl1-mesa-glx
(for Ubuntu OS);
2.5 Numpy版本不适配解决
import pianno as po
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AttributeError: module 'numpy' has no attribute 'object'.
`np.object` was a deprecated alias for the builtin `object`. To avoid this error in existing code, use `object` by itself. Doing this will not modify any behavior and is safe.
解决方案:pip install numpy==1.23.4
注:官方要求tensorflow-gpu 2.6.0 requires numpy~=1.19.2,但实测1.23版本numpy可运行
2.6 相关R依赖包的安装
remotes::install_version("Matrix", version = "1.6-1")
remotes::install_github("elswob/SCRAN")
remotes::install_github("mohuangx/SAVER@*release")
Reference
yuqiuzhou/Pianno (github.com)
Pianno: a probabilistic framework automating semantic annotation for spatial transcriptomics | Nature Communications
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