acp-lung-cancer
OpenML dataset with id 42893
Claudia S. Neuhaus, Francesca Grisoni, Gisbert Schneider, Gisela Gabernet, Jan A. Hiss, Masaaki Kotera, Miyabi Hishinuma
Full work available at URL: https://api.openml.org/data/v1/download/22045524/acp-lung-cancer.arff
Upload date: 19 May 2021
Dataset Characteristics
Number of features: 3 (numeric: 1, symbolic: 0 and in total binary: 0 )
Number of instances: 901
Number of instances with missing values: 0
Number of missing values: 0
Author: Francesca Grisoni, Claudia S. Neuhaus, Miyabi Hishinuma, Gisela Gabernet, Jan A. Hiss, - Masaaki Kotera, Gisbert Schneider Source: UCI - 2019 Please cite: Paper
Peptides with experimental annotations on their anticancer action on breast and lung cancer cells. This dataset only contains the lung cancer data.
Membranolytic anticancer peptides (ACPs) are drawing increasing attention as potential future therapeutics against cancer, due to their ability to hinder the development of cellular resistance and their potential to overcome common hurdles of chemotherapy, e.g., side effects and cytotoxicity. This dataset contains information on peptides (annotated for their one-letter amino acid code) and their anticancer activity on breast and lung cancer cell lines. The final training sets contained 949 peptides for Breast cancer and 901 peptides for Lung cancer.
Attribute Information:
The dataset contains three attributes:
1. Peptide ID
2. One-letter amino-acid sequence
3. Class (active, moderately active, experimental inactive, virtual inactive)
This page was built for dataset: acp-lung-cancer
