@inproceedings{5e6770453d8540d2963a886a05cd153d,
title = "Implementation of factor analysis for bicluster acquisition: Sparseness projection (FABIAS) on microarray of Alzheimer's gene expression data",
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.",
author = "Wutun, {Theresia B.P.} and Alhadi Bustamam and Titin Siswantining",
note = "Publisher Copyright: {\textcopyright} 2019 Author(s).; International Symposium on BioMathematics 2018, SYMOMATH 2018 ; Conference date: 31-08-2018 Through 02-09-2018",
year = "2019",
month = mar,
day = "22",
doi = "10.1063/1.5094268",
language = "English",
series = "AIP Conference Proceedings",
publisher = "American Institute of Physics Inc.",
editor = "Handari, {Bevina Desjwiandra} and Hiromi Seno and Hengki Tasman",
booktitle = "Proceedings of the Symposium on BioMathematics, SYMOMATH 2018",
address = "United States",
}