OncoMark

OncoMark is a Python package designed to systematically quantify hallmark activity using transcriptomics data from routine tumor biopsies. Ideal for applications in oncology research, personalized medicine, and biomarker discovery.

Installation

Install OncoMark using pip:

pip install OncoMark

Documentation

Comprehensive documentation is available at:
OncoMark Documentation

Usage

Python API

import pandas as pd
from OncoMark import predict_hallmark_scores

# Load input data as a pandas DataFrame. Genes must be in column.
input_data = pd.read_csv('input_data.csv', index_col=0)

# Predict hallmark scores
predictions = predict_hallmark_scores(input_data)

# Display the predictions
predictions

Web Server

OncoMark also provides a web server for easy interaction.

Access the Online Web Server

You can use the hosted web server directly:

OncoMark Web Server

Suggestions

We welcome suggestions! If you have any ideas or feedback to improve OncoMark, please reach out to Shreyansh Priyadarshi.