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README in progress

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# DSLS-project
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# DSLS Project
## Shared genetic traits in psychiatric disorders
In the project we analyze shared genetic traits between three psychiatric diseases, namely autism, depression and schizophrenia using publicly available RNA-Seq and DNA Methylation datasets.
This repository contains the notebooks with conducted analyses of RNA-Seq and DNA Methylation datasets.
All data necessary to run the notebooks can be downloaded from GEO database and this [link](TODO)
### Statistical analysis
#### Differential Expression Analysis (limma)
`differential_expression_analysis.Rmd`
In order to run the analysis, please download following datasets from GEO database:
* Autism dataset - [GSE25507](https://ftp.ncbi.nlm.nih.gov/geo/series/GSE25nnn/GSE25507/matrix/)
* Schizophrenia dataset - [GSE27383](https://ftp.ncbi.nlm.nih.gov/geo/series/GSE27nnn/GSE27383/matrix/)
* Depression dataset - [GSE98793](https://ftp.ncbi.nlm.nih.gov/geo/series/GSE98nnn/GSE98793/matrix/)
* Affymetrix chip annotation file - [Platform GPL570](https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?mode=raw&is_datatable=true&acc=GPL570&id=55999&db=GeoDb_blob143)
#### Differential Methylation Analysis (ChAMP)
##### Preprocessing
* `GSE80417_Preprocessing.ipynb`
* `Methylation_Labeling.ipynb`
`differential_methylation_analysis.Rmd`
In order to run the analysis, please download following datasets from GEO database:
TODO
### Machine Learning
Following notebooks contain code for multiclass classification based on RNA-Seq and DNA Methylation data:
* `rnaseq_ml.ipynb` [RNA-Seq]
* `methylation_ml.ipynb` [DNA Methylation]
In order to run the notebooks, choose one of the two options:
* Run `differential_expression_analysis.Rmd` and `differential_methylation_analysis.Rmd` in order to generate necessary input data
* (recommended) Download the already generated input data from this [link](TODO)
### Annotation
`Methylation_Postprocessing.ipynb`
TODO
`annotation_gsea.ipynb`
TODO
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