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Merge pull request #13 from florianingelfinger/dev
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README.md

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[link-tests]: https://github.com/florianingelfinger/CytoVI/actions/workflows/test.yml
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[badge-docs]: https://img.shields.io/readthedocs/CytoVI
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Variational inference for cytometry
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Variational inference for antibody-based single cell technologies.
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## Getting started
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CytoVI accomplishes the following analysis tasks:
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- Integration/batch correction
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- Differential protein expression analysis
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- Label-free differential abundance analysis
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- Imputation of unseen proteins from overlapping antibody panels
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- Technology integration (e.g. Flow and Mass cytometry)
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- RNA/modality imputation after integration of flow/mass cytometry data with CITE-seq data
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- Automated cell annotation via transfer learning
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Please refer to the [documentation][link-docs]. In particular, the
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## Getting started
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- [API documentation][link-api].
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To get started please check out the basic analysis notebook in the [docs](https://github.com/florianingelfinger/CytoVI/blob/main/docs/notebooks/Basic_CytoVI_workflow.ipynb).
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## Installation
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You need to have Python 3.9 or newer installed on your system. If you don't have
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You need to have Python 3.10 or newer installed on your system. If you don't have
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Python installed, we recommend installing [Mambaforge](https://github.com/conda-forge/miniforge#mambaforge).
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There are several alternative options to install CytoVI:

pyproject.toml

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version = "0.0.1"
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description = "Variational inference for cytometry"
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readme = "README.md"
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requires-python = ">=3.9"
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requires-python = ">=3.10"
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license = {file = "LICENSE"}
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authors = [
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{name = "Florian Ingelfinger"},
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urls.Home-page = "https://github.com/florianingelfinger/CytoVI"
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dependencies = [
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"anndata",
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"scvi-tools>=1.2",
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"scvi-tools>=1.3",
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"seaborn",
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"matplotlib",
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"pynndescent",
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# for debug logging (referenced from the issue template)
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"session-info"

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