TY - GEN
T1 - Implementation of factor analysis for bicluster acquisition
T2 - International Symposium on BioMathematics 2018, SYMOMATH 2018
AU - Wutun, Theresia B.P.
AU - Bustamam, Alhadi
AU - Siswantining, Titin
N1 - Funding Information:
This work is supported by PITTA UI 2018 research grant from DRPM Universitas Indonesia, with research ID 2223/UN2.R3.1/HKP05.001/2018.
Publisher Copyright:
© 2019 Author(s).
PY - 2019/3/22
Y1 - 2019/3/22
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85063864066&partnerID=8YFLogxK
U2 - 10.1063/1.5094268
DO - 10.1063/1.5094268
M3 - Conference contribution
AN - SCOPUS:85063864066
T3 - AIP Conference Proceedings
BT - Proceedings of the Symposium on BioMathematics, SYMOMATH 2018
A2 - Handari, Bevina Desjwiandra
A2 - Seno, Hiromi
A2 - Tasman, Hengki
PB - American Institute of Physics Inc.
Y2 - 31 August 2018 through 2 September 2018
ER -