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Updated docs, inserted Biorxiv link
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KevinMenden committed Jun 6, 2019
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Expand Up @@ -6,6 +6,8 @@ Scaden is a tool for bulk RNA-seq cell type deconvolutional that uses a deep neu
on artificial bulk data simulated with scRNA-seq datasets. This method was developed in the [Genome Biology of Neurodegenerativ Diseases group](https://www.dzne.de/en/research/research-areas/fundamental-research/research-groups/heutink/research-areasfocus/)
at the [DZNE Tübingen](https://www.dzne.de/en/about-us/sites/tuebingen/) and the [Medical Systems Biology](https://www.uke.de/english/departments-institutes/institutes/medical-systems-biology/team/index.html) group at the [ZMNH](https://www.uke.de/english/departments-institutes/centers/center-for-molecular-neurobiology-hamburg-(zmnh)/index.html). The main author is [Kevin Menden](https://github.com/KevinMenden).

A pre-print describing the method is available on Biorxiv:
[Deep-learning-based cell composition analysis from tissue expression profiles](https://www.biorxiv.org/content/10.1101/659227v1)

## Version 0.9.0
This is the initial release version of Scaden. While this version contains full functionality for pre-processing, training and prediction, it does not
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