QSAR androgen receptor
Donated on 9/30/2019
1024 binary attributes (molecular fingerprints) used to classify 1687 chemicals into 2 classes (binder to androgen receptor/positive, non-binder to androgen receptor /negative)
Dataset Characteristics
Multivariate
Subject Area
Physics and Chemistry
Associated Tasks
Classification
Feature Type
-
# Instances
1687
# Features
1024
Reviews
There are no reviews for this dataset yet.
Download
Install the ucimlrepo package
pip install ucimlrepo
Import the dataset into your code
View the full documentationfrom ucimlrepo import fetch_ucirepo # fetch dataset qsar_androgen_receptor = fetch_ucirepo(id=509) # data (as pandas dataframes) X = qsar_androgen_receptor.data.features y = qsar_androgen_receptor.data.targets # metadata print(qsar_androgen_receptor.metadata) # variable information print(qsar_androgen_receptor.variables)
0 citations
1900 views
Citation
QSAR androgen receptor. (2019). UCI Machine Learning Repository. https://doi.org/10.24432/C53317.
BibTeX
@misc{misc_qsar_androgen_receptor_509,
title = {{QSAR androgen receptor}},
year = {2019},
howpublished = {UCI Machine Learning Repository},
note = {{DOI}: https://doi.org/10.24432/C53317}
}DOI
License
This dataset is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.
This allows for the sharing and adaptation of the datasets for any purpose, provided that the appropriate credit is given.