@inproceedings{36d10fd9e5704e30802735c9c94e1c55,
title = "Automated Machine Learning Strategies to Damage Identification of Neurofibromatosis Mutations",
abstract = "Machine learning tools have been employed for problem solutions in bioinformatics. However, the parameters tuning of these models cam imply additional difficulties around the specific technique used to classify. In this work data from protein sequences was applied to three auto machine learning strategies to determine the type of mutation for the Neurofibromatosis disease. Results show that the parameters in the machine learning models were found automatically. In addition, these tools were relevant to determine relations between the amino-acids in the protein sequence.",
author = "Orjuela-Canon, {Alvaro David} and Figueroa-Garcia, {Juan Carlos} and Roman Neruda",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 20th IEEE International Conference on Machine Learning and Applications, ICMLA 2021 ; Conference date: 13-12-2021 Through 16-12-2021",
year = "2021",
month = jan,
day = "25",
doi = "10.1109/ICMLA52953.2021.00217",
language = "English (US)",
series = "Proceedings - 20th IEEE International Conference on Machine Learning and Applications, ICMLA 2021",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1341--1344",
editor = "Wani, {M. Arif} and Sethi, {Ishwar K.} and Weisong Shi and Guangzhi Qu and Raicu, {Daniela Stan} and Ruoming Jin",
booktitle = "Proceedings - 20th IEEE International Conference on Machine Learning and Applications, ICMLA 2021",
address = "United States",
}