@inproceedings{a6aaf26fd9ed49778868b1344ce1df5d,
title = "Measuring the implications of the D-basis in analysis of data in biomedical studies",
abstract = "We introduce the parameter of relevance of an attribute of a binary table to another attribute of the same table, computed with respect to an implicational basis of a closure system associated with the table. This enables a ranking of all attributes, by relevance parameter to the same fixed attribute, and, as a consequence, reveals the implications of the basis most relevant to this attribute. As an application of this new metric, we test the algorithm for D-basis extraction presented in Adaricheva and Nation [1] on biomedical data related to the survival groups of patients with particular types of cancer. Each test case requires a specialized approach in converting the real-valued data into binary data and careful analysis of the transformed data in a multi-disciplinary environment of cross-field collaboration.",
keywords = "Binary table, Blood biochemistry, D-basis, Galois lattice, Gene expression, Immune markers, Implicational basis, Infection, Relevance, Response to treatment, Support, Survival",
author = "Kira Adaricheva and Nation, {J. B.} and Gordon Okimoto and Vyacheslav Adarichev and Adina Amanbekkyzy and Shuchismita Sarkar and Alibek Sailanbayev and Nazar Seidalin and Kenneth Alibek",
note = "Publisher Copyright: {\textcopyright} 2015 Springer International Publishing Switzerland.; 13th International Conference on Formal Concept Analysis, ICFCA 2015 ; Conference date: 23-06-2015 Through 26-06-2015",
year = "2015",
doi = "10.1007/978-3-319-19545-2_3",
language = "English",
series = "Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)",
publisher = "Springer Verlag",
pages = "39--57",
editor = "Christian Sacarea and Manuel Ojeda-Aciego and Jaume Baixeries",
booktitle = "Formal Concept Analysis - 13th International Conference, ICFCA 2015, Proceedings",
address = "Germany",
}
