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:
Suggestions
We welcome suggestions! If you have any ideas or feedback to improve OncoMark, please reach out to Shreyansh Priyadarshi.
Metadata
Release files for OncoMark 1.0.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| oncomark-1.0.0.tar.gz | 7.0 MB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| OncoMark-1.0.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 14.1 MB
Release files / oncomark-1.0.0.tar.gz
| Download URL | oncomark-1.0.0.tar.gz |
|---|---|
| Size | 7.0 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
|
BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.0.1 CPython/3.12.0
|
Release files / OncoMark-1.0.0-py3-none-any.whl
| Download URL | OncoMark-1.0.0-py3-none-any.whl |
|---|---|
| Size | 7.0 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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|
BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.0.1 CPython/3.12.0
|
Security for OncoMark 1.0.0
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None of the files in this release were uploaded with provenance metadata.
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