From 6fc329a6e3509967f9026cc431b9395a6dfc0ca9 Mon Sep 17 00:00:00 2001 From: Brais Date: Sat, 23 Mar 2024 15:32:03 +0100 Subject: [PATCH] doc(readme.md): add figure links and tutorial for run the app locally --- .gitignore | 2 -- figures/adverse-effects-filtering.png | Bin 0 -> 63449 bytes figures/adverse-effects.png | Bin 0 -> 96942 bytes figures/pubmed_tipotumor_farmaco.png | Bin 0 -> 193798 bytes readme.md | 22 ++++++++++++++++++++++ 5 files changed, 22 insertions(+), 2 deletions(-) create mode 100644 figures/adverse-effects-filtering.png create mode 100644 figures/adverse-effects.png create mode 100644 figures/pubmed_tipotumor_farmaco.png diff --git a/.gitignore b/.gitignore index fd0e1c9..dfd0fbc 100644 --- a/.gitignore +++ b/.gitignore @@ -28,8 +28,6 @@ Thumbs.db #Folders results/ -figures/ - #Files notebooks/crossref-api-review.ipynb notebooks/resultados.json diff --git a/figures/adverse-effects-filtering.png b/figures/adverse-effects-filtering.png new file mode 100644 index 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z?58_qTL%l0F4!%*>U@=yYY7kC{N0{k)B?_MrSS?A7=y94tbf4X=hIjii2@$gP*xUG z6Pk&D7G}+PRHy9AH_6G@*;)K;N1xv*%3wuU@zejmnXCF&{J$l+|Hpq?VHRk${;9=* SR(=ZpV>@7&^=V6|)&B=qm0&Ue literal 0 HcmV?d00001 diff --git a/readme.md b/readme.md index 9857686..2494a58 100644 --- a/readme.md +++ b/readme.md @@ -6,10 +6,17 @@ This application performs a co-occurrence analysis on PubMed of two lists of ter - **Co-occurrence Analysis**: The application uses PubMed data to perform a co-occurrence analysis of disease and drug terms. +![Co-occurrence Analysis](figures/pubmed_tipotumor_farmaco.png) + + - **Adverse Effects Extraction**: In addition to the co-occurrence analysis, the application extracts adverse effects from the provided list of drugs. + ![Adverse Effects Extraction](figures/adverse-effects.png) + - **Adverse Effects Filtering**: An optional third list can be used to filter adverse effects of interest, enabling a more specific and personalized analysis. + ![Adverse Effects Filtering](figures/adverse-effects-filtering.png) + ## Usage 1. **Data Loading**: Load the CSV files containing the lists of diseases and drugs. You can also load an additional file for the list of adverse effects, if necessary. @@ -20,6 +27,21 @@ This application performs a co-occurrence analysis on PubMed of two lists of ter 4. **Data Download**: You can download the analysis results for further analysis or reference. +## Running Locally + +To run the application locally, follow these steps: + +1. Create a directory named `.streamlit` in the root directory of the project. +2. Create a file named `secrets.toml` inside the `.streamlit` directory. +3. Add your FAERS API key to the `secrets.toml` file with the following format: + ```toml + FAERS_API_KEY = "your_api_key_here" + ``` +You can obtain your FAERS API key here. + +For more information on how secrets work in Streamlit, visit this link. + + ## Built With - Python

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