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.
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.
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)
All data necessary to run the notebooks can be downloaded from GEO database and this [link](https://drive.google.com/drive/folders/1V1I6pUEiTr2J5Ixma6nM69cd_u1aqiFp?usp=drive_link).
### Statistical analysis
### Statistical analysis
#### Differential Expression Analysis (limma)
#### Differential Expression Analysis (limma)
`differential_expression_analysis.Rmd`
`differential_expression_analysis.Rmd`
In order to run the analysis, please download following datasets from GEO database:
In order to run the analysis, please download following datasets from GEO database:
* 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)
#### Machine Learning
### Annotation
Following notebooks contain code for multiclass classification based on RNA-Seq and DNA Methylation data:
`Methylation_Postprocessing.ipynb`
*`rnaseq_ml.ipynb` [RNA-Seq]
TODO
*`methylation_ml.ipynb` [DNA Methylation]
`annotation_gsea.ipynb`
In order to run the notebooks, choose one of the two options:
TODO
* 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](https://drive.google.com/drive/folders/19xE-Op_HhuKsD_RzS7DQ4XFe3gN7WDv6?usp=drive_link)
*`/rna-seq` folder for `rnaseq_ml.ipynb`
*`/dna-methylation` folder for `methylation_ml.ipynb`
#### Annotation
`Methylation_Postprocessing.ipynb`
The following files are declared in the notebook's DMP part as df_mdd, df_asd and df_scz: