Please use this identifier to cite or link to this item:
Full metadata record
DC FieldValueLanguage
dc.contributor.authorJeerayut Chaijaruwanichen_US
dc.contributor.authorJamlong Khamphachuaen_US
dc.contributor.authorSukon Prasitwattanasereeen_US
dc.contributor.authorSaradee Wariten_US
dc.contributor.authorPrasit Palittapongarnpimen_US
dc.description.abstractRecently, the differential transcriptional responses of Mycobacterium tuberculosis to drug and growth-inhibitory conditions were monitored to generate a data set of 436 microarray profiles. These profiles were valuably used for grouping drugs, identifying drug targets and detecting related pathways, based on various conventional methods; such as Pearson correlation, hierarchical clustering, and statistical tests. These conventional clustering methods used the high dimensionality of gene space to reveal drug groups basing on the similarity of expression levels of all genes. In this study, we applied the factor analysis with these conventional methods for drug clustering, drug target detection and pathway detection. The latent variables or factors of gene expression levels in loading space from factor analysis allowed the hierarchical clustering to discover true drug groups. The t-test method was applied to identify drug targets which most significantly associated with each drug cluster. Then, gene ontology was used to detect pathway associations for each group of drug targets. © Springer-Verlag Berlin Heidelberg 2006.en_US
dc.subjectComputer Scienceen_US
dc.titleApplication of factor analysis on Mycobacterium tuberculosis transcriptional responses for drug clustering, drug target, and pathway detectionsen_US
dc.typeBook Seriesen_US
article.title.sourcetitleLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)en_US
article.volume4093 LNAIen_US Mai Universityen_US National Center for Genetic Engineering and Biotechnologyen_US
Appears in Collections:CMUL: Journal Articles

Files in This Item:
There are no files associated with this item.

Items in CMUIR are protected by copyright, with all rights reserved, unless otherwise indicated.