Measuring the implications of the D-basis in analysis of data in biomedical studies

Kira Adaricheva, J. B. Nation, Gordon Okimoto, Vyacheslav Adarichev, Adina Amanbekkyzy, Shuchismita Sarkar, Alibek Sailanbayev, Nazar Seidalin, Kenneth Alibek

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationFormal Concept Analysis - 13th International Conference, ICFCA 2015, Proceedings
EditorsChristian Sacarea, Manuel Ojeda-Aciego, Jaume Baixeries
PublisherSpringer Verlag
Pages39-57
Number of pages19
ISBN (Electronic)9783319195445
DOIs
Publication statusPublished - 2015
Event13th International Conference on Formal Concept Analysis, ICFCA 2015 - Nerja, Spain
Duration: Jun 23 2015Jun 26 2015

Publication series

NameLecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)
Volume9113
ISSN (Print)0302-9743

Other

Other13th International Conference on Formal Concept Analysis, ICFCA 2015
CountrySpain
CityNerja
Period6/23/156/26/15

Keywords

  • Binary table
  • Blood biochemistry
  • D-basis
  • Galois lattice
  • Gene expression
  • Immune markers
  • Implicational basis
  • Infection
  • Relevance
  • Response to treatment
  • Support
  • Survival

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Adaricheva, K., Nation, J. B., Okimoto, G., Adarichev, V., Amanbekkyzy, A., Sarkar, S., Sailanbayev, A., Seidalin, N., & Alibek, K. (2015). Measuring the implications of the D-basis in analysis of data in biomedical studies. In C. Sacarea, M. Ojeda-Aciego, & J. Baixeries (Eds.), Formal Concept Analysis - 13th International Conference, ICFCA 2015, Proceedings (pp. 39-57). (Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science); Vol. 9113). Springer Verlag. https://doi.org/10.1007/978-3-319-19545-2_3