Running the server

1. Create a virtual environment for linux and mac

python3 -m venv venv

for windows

python -m venv venv

2. Activate the virtual environment for linux and mac

source venv/bin/activate

for windows

venv\Scripts\activate

3. Go to api directory and Install the dependencies

cd api

pip install -r requirements.txt

4. Run the server

fastapi dev main.py

Testing the server

1. Install Postman

2. Open postman and import the collection from the file postman_collection.json

3. Run the collection

4. You can test the endpoints by running the requests in the collection

R package install by siam

Step 1: Check if BiocManager is installed

if (!requireNamespace("BiocManager", quietly = TRUE)) { install.packages("BiocManager") }

Step 2: Install sva from Bioconductor

tryCatch({ BiocManager::install("sva") library(sva) cat("sva package installed and loaded successfully!\n") }, error = function(e) { cat("Error installing sva package: ", e$message, "\n") })

Step 3: Check Bioconductor validity (optional)

tryCatch({ BiocManager::valid() }, error = function(e) { cat("Error validating Bioconductor: ", e$message, "\n") })

Step 4: If sva installation fails, try an older version

tryCatch({ packageurl <- "https://bioconductor.org/packages/3.14/bioc/src/contrib/sva_3.38.0.tar.gz" install.packages(packageurl, repos = NULL, type = "source") library(sva) cat("sva package installed from source successfully!\n") }, error = function(e) { cat("Error installing sva package from source: ", e$message, "\n") })

python install by siam

pip install umap-learn