@inproceedings{9bed8df5220949688168c675dad47933,
title = "ISaaC: Identifying structural relations in biological data with copula-based kernel dependency measures",
abstract = "The goal of this paper is to develop a novel statistical framework for inferring dependence between distributions of variables in omics data. We propose the concept of building a dependence network using a copula-based kernel dependency measures to reconstruct the underlying association network between the distributions. ISaaC is utilized for reverse-engineering gene regulatory networks and is competitive with several state-of-the-art gene regulatory inferrence methods on DREAM3 and DREAM4 Challenge datasets. An open-source implementation of ISaaC is available at https://bitbucket.org/HossamAlmeer/isaac/.",
author = "{Al Meer}, Hossam and Raghvendra Mall and Ehsan Ullah and Nasreddine Megrez and Halima Bensmail",
note = "Publisher Copyright: {\textcopyright} 2018, Springer International Publishing AG, part of Springer Nature.; 6th International Work-Conference on Bioinformatics and Biomedical Engineering, IWBBIO 2018 ; Conference date: 25-04-2018 Through 27-04-2018",
year = "2018",
doi = "10.1007/978-3-319-78723-7_6",
language = "English",
isbn = "9783319787220",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "71--82",
editor = "Ignacio Rojas and Francisco Ortuno",
booktitle = "Bioinformatics and Biomedical Engineering - 6th International Work-Conference, IWBBIO 2018, Proceedings",
address = "Germany",
}