Implementation of factor analysis for bicluster acquisition: Sparseness projection (FABIAS) on microarray of Alzheimer's gene expression data

Theresia B.P. Wutun, Alhadi Bustamam, Titin Siswantining

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

Abstract

Alzheimers is a chronic neurodegenerative disease that usually worsens over time, progressively destroys memory and other important mental functions. Number of people suffered for Alzheimers is increased over these years. Treatment may help but this condition has no cure. Facing this alarming problem, an implementation of Factor Analysis for Bicluster Acquisition: Sparseness Projection (FABIAS) is studied to get biclusters from Alzheimers gene expression data. These biclusters might have some valuable information to help improvement of researches in Alzheimers. The data that is used in this research included 54675 Alzheimers gene expression data from 161 samples with 74 control samples and 87 affected samples. This research is focused on implementation of FABIAS as one of well-known method for biclustering. From the results of this study, there are ten biclusters obtained from the Alzheimers gene expression data, with three true biclusters.

Original languageEnglish
Title of host publicationProceedings of the Symposium on BioMathematics, SYMOMATH 2018
EditorsBevina Desjwiandra Handari, Hiromi Seno, Hengki Tasman
PublisherAmerican Institute of Physics Inc.
ISBN (Electronic)9780735418141
DOIs
Publication statusPublished - 22 Mar 2019
EventInternational Symposium on BioMathematics 2018, SYMOMATH 2018 - Depok, Indonesia
Duration: 31 Aug 20182 Sep 2018

Publication series

NameAIP Conference Proceedings
Volume2084
ISSN (Print)0094-243X
ISSN (Electronic)1551-7616

Conference

ConferenceInternational Symposium on BioMathematics 2018, SYMOMATH 2018
Country/TerritoryIndonesia
CityDepok
Period31/08/182/09/18

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