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pelingundogdu/signalization_prior_knowledge_based_nn

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  • Experiments and exporting the prior biological knowledge information steps are shared in 'project_bash.sh' file.

  • Figures, shared in paper and supplementary files, can be created by using notebooks in 'SigPrimedNet_figures' folder.

Project Organization

├── environment.yml              <- The environment file
│
├── README.md                    <- The top-level README for developers using this project.
│
├── project_bash.sh              <- All experiments and exporting the prior biological knowledge information steps
│
├── data
│   ├── external                 <- Data from third party sources.
│   ├── processed                <- The final, canonical data sets for modeling.
│   └── raw                      <- The original, immutable data dump.
│
├── notebooks                    <- Jupyter notebooks. Naming convention is a number (for ordering),
│                                   the creator's initials, and a short `-` delimited description, 
│                                   e.g. `1.0-jqp-initial-data-exploration`
│
├── references                   <- Data dictionaries, manuals, and all other explanatory materials
│ 
├── SigPrimedNet_figures         <- Jupyter notebooks, which create all figure in paper and supplementary file.
│
└── scripts                      <- helper scripts

Project based on the cookiecutter data science project template. #cookiecutterdatascience