iMAP - Integration of multiple single-cell datasets by adversarial paired transfer networks
Installation
1. Prerequisites
- Install Python >= 3.6. Typically, you should use the Linux system and install a newest version of Anaconda or Miniconda .
- Install pytorch >= 1.1.0. To obtain the optimal performance of deep learning-based models, you should have a Nivdia GPU and install the appropriate version of CUDA. (We tested with CUDA = 9.0)
- Install scanpy >= 1.5.1 for pre-processing.
- (Optional) Install SHAP for interpretation.
2. Installation
The iMAP python package is available for pip install(pip install imap). The functions required for the stage I and II of iMAP could be imported from “imap.stage1” and “imap.stage2”, respectively.
Tutorials
Tutorials and API reference are available in the tutorials directory.
Metadata
Release files for imap 1.0.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
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| imap-1.0.0.tar.gz | 77.3 kB | Details |
Release files / imap-1.0.0.tar.gz
| Download URL | imap-1.0.0.tar.gz |
|---|---|
| Size | 77.3 kB |
| Tags | Source |
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