Application of factor analysis on Mycobacterium tuberculosis transcriptional responses for drug clustering, drug target, and pathway detections

Recently, 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,...

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Main Authors: Chaijaruwanich J., Khamphachua J., Prasitwattanaseree S., Warit S., Palittapongarnpim P.
Format: Conference or Workshop Item
Language:English
Published: 2014
Online Access:http://www.scopus.com/inward/record.url?eid=2-s2.0-33749377703&partnerID=40&md5=d74fa678e9786cae4ee60128159af89a
http://cmuir.cmu.ac.th/handle/6653943832/5068
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Institution: Chiang Mai University
Language: English
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spelling th-cmuir.6653943832-50682014-08-30T02:56:07Z Application of factor analysis on Mycobacterium tuberculosis transcriptional responses for drug clustering, drug target, and pathway detections Chaijaruwanich J. Khamphachua J. Prasitwattanaseree S. Warit S. Palittapongarnpim P. Recently, 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. 2014-08-30T02:56:07Z 2014-08-30T02:56:07Z 2006 Conference Paper 3540370250; 9783540370253 03029743 68257 http://www.scopus.com/inward/record.url?eid=2-s2.0-33749377703&partnerID=40&md5=d74fa678e9786cae4ee60128159af89a http://cmuir.cmu.ac.th/handle/6653943832/5068 English
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
language English
description Recently, 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.
format Conference or Workshop Item
author Chaijaruwanich J.
Khamphachua J.
Prasitwattanaseree S.
Warit S.
Palittapongarnpim P.
spellingShingle Chaijaruwanich J.
Khamphachua J.
Prasitwattanaseree S.
Warit S.
Palittapongarnpim P.
Application of factor analysis on Mycobacterium tuberculosis transcriptional responses for drug clustering, drug target, and pathway detections
author_facet Chaijaruwanich J.
Khamphachua J.
Prasitwattanaseree S.
Warit S.
Palittapongarnpim P.
author_sort Chaijaruwanich J.
title Application of factor analysis on Mycobacterium tuberculosis transcriptional responses for drug clustering, drug target, and pathway detections
title_short Application of factor analysis on Mycobacterium tuberculosis transcriptional responses for drug clustering, drug target, and pathway detections
title_full Application of factor analysis on Mycobacterium tuberculosis transcriptional responses for drug clustering, drug target, and pathway detections
title_fullStr Application of factor analysis on Mycobacterium tuberculosis transcriptional responses for drug clustering, drug target, and pathway detections
title_full_unstemmed Application of factor analysis on Mycobacterium tuberculosis transcriptional responses for drug clustering, drug target, and pathway detections
title_sort application of factor analysis on mycobacterium tuberculosis transcriptional responses for drug clustering, drug target, and pathway detections
publishDate 2014
url http://www.scopus.com/inward/record.url?eid=2-s2.0-33749377703&partnerID=40&md5=d74fa678e9786cae4ee60128159af89a
http://cmuir.cmu.ac.th/handle/6653943832/5068
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