THD-Tricluster Method on Three Dimensional Gene Expression Data of Tuberculosis Patients

Heri Kurnia Andika, Titin Siswantining, Alhadi Bustamam, Prasnurzaki Anki

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

Tuberculosis (TB) is a disease with contagious that caused by various mycobacteria. Around 30% of our population is approximate to be infected with TB. Tuberculosis is still a deadly disease. Nowadays, there has been a lot of research on gene expression analysis to gain information about the diagnosis and prognosis of various diseases including TB. Clustering has been applied to gaining information or insight from a data distribution. In bioinformatics, clustering is used to learn about phenomenological responses of genes, predicted disease progression, and find biomarkers from a dataset in form of microarray data. Nowadays, it's possible to get the expression level of genes in a biological sample during a series of time points. Dataset with three-dimensional can be considered for gene expression subjects by clustering methods published. Triclustering analysis is a method on 3D data (observation, attribute, and context). Triclustering analysis can simultaneously group measurement on several attributes and contexts with an output subset of the data called tricluster. one of the triclustering method is THD-Tricluster that has advantages to form a tricluster from a data with shifting-and-scalling pattern. The results of the tricluster analysis can help diagnose various diseases as early as possible including TB.

Original languageEnglish
Title of host publication2022 6th International Conference on Informatics and Computational Sciences, ICICoS 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages48-53
Number of pages6
ISBN (Electronic)9781665460996
DOIs
Publication statusPublished - 2022
Event6th International Conference on Informatics and Computational Sciences, ICICoS 2022 - Virtual, Online, Indonesia
Duration: 28 Sept 202229 Sept 2022

Publication series

NameProceedings - International Conference on Informatics and Computational Sciences
Volume2022-September
ISSN (Print)2767-7087

Conference

Conference6th International Conference on Informatics and Computational Sciences, ICICoS 2022
Country/TerritoryIndonesia
CityVirtual, Online
Period28/09/2229/09/22

Keywords

  • Gene Expression Data
  • Three-Dimensional Data
  • Triclustering
  • Tuberculosis

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