rdf:type |
|
lifeskim:mentions |
|
pubmed:dateCreated |
2006-10-4
|
pubmed:abstractText |
Factor analysis (FA) has been widely applied in microarray studies as a data-reduction-tool without any a-priori assumption regarding associations between observed data and latent structure (Exploratory Factor Analysis).A disadvantage is that the representation of data in a reduced set of dimensions can be difficult to interpret, as biological contrasts do not necessarily coincide with single dimensions. However, FA can also be applied as an instrument to confirm what is expected on the basis of pre-established hypotheses (Confirmatory Factor Analysis, CFA). We show that with a hypothesis incorporated in a balanced (orthogonal) design, including 'SelfSelf' hybridizations, dye swaps and independent replications, FA can be used to identify the latent factors underlying the correlation structure among the observed two-color microarray data. An orthogonal design will reflect the principal components associated with each experimental factor. We applied CFA to a microarray study performed to investigate cisplatin resistance in four ovarian cancer cell lines, which only differ in their degree of cisplatin resistance.
|
pubmed:commentsCorrections |
http://linkedlifedata.com/resource/pubmed/commentcorrection/16968534-10070945,
http://linkedlifedata.com/resource/pubmed/commentcorrection/16968534-10890920,
http://linkedlifedata.com/resource/pubmed/commentcorrection/16968534-10902193,
http://linkedlifedata.com/resource/pubmed/commentcorrection/16968534-10963673,
http://linkedlifedata.com/resource/pubmed/commentcorrection/16968534-11178228,
http://linkedlifedata.com/resource/pubmed/commentcorrection/16968534-11382364,
http://linkedlifedata.com/resource/pubmed/commentcorrection/16968534-11747616,
http://linkedlifedata.com/resource/pubmed/commentcorrection/16968534-11793235,
http://linkedlifedata.com/resource/pubmed/commentcorrection/16968534-11808747,
http://linkedlifedata.com/resource/pubmed/commentcorrection/16968534-11842121,
http://linkedlifedata.com/resource/pubmed/commentcorrection/16968534-11886689,
http://linkedlifedata.com/resource/pubmed/commentcorrection/16968534-11931570,
http://linkedlifedata.com/resource/pubmed/commentcorrection/16968534-11965276,
http://linkedlifedata.com/resource/pubmed/commentcorrection/16968534-12016052,
http://linkedlifedata.com/resource/pubmed/commentcorrection/16968534-12097349,
http://linkedlifedata.com/resource/pubmed/commentcorrection/16968534-12407684,
http://linkedlifedata.com/resource/pubmed/commentcorrection/16968534-12424116,
http://linkedlifedata.com/resource/pubmed/commentcorrection/16968534-12454643,
http://linkedlifedata.com/resource/pubmed/commentcorrection/16968534-12454644,
http://linkedlifedata.com/resource/pubmed/commentcorrection/16968534-12507787,
http://linkedlifedata.com/resource/pubmed/commentcorrection/16968534-12664680,
http://linkedlifedata.com/resource/pubmed/commentcorrection/16968534-12726863,
http://linkedlifedata.com/resource/pubmed/commentcorrection/16968534-13130111,
http://linkedlifedata.com/resource/pubmed/commentcorrection/16968534-14982960,
http://linkedlifedata.com/resource/pubmed/commentcorrection/16968534-15378272,
http://linkedlifedata.com/resource/pubmed/commentcorrection/16968534-15806617,
http://linkedlifedata.com/resource/pubmed/commentcorrection/16968534-16142353,
http://linkedlifedata.com/resource/pubmed/commentcorrection/16968534-16404635
|
pubmed:language |
eng
|
pubmed:journal |
|
pubmed:citationSubset |
IM
|
pubmed:chemical |
|
pubmed:status |
MEDLINE
|
pubmed:issn |
1471-2164
|
pubmed:author |
|
pubmed:issnType |
Electronic
|
pubmed:volume |
7
|
pubmed:owner |
NLM
|
pubmed:authorsComplete |
Y
|
pubmed:pagination |
232
|
pubmed:dateRevised |
2009-11-18
|
pubmed:meshHeading |
pubmed-meshheading:16968534-Antineoplastic Agents, Alkylating,
pubmed-meshheading:16968534-Cell Line, Tumor,
pubmed-meshheading:16968534-Cisplatin,
pubmed-meshheading:16968534-DNA, Neoplasm,
pubmed-meshheading:16968534-Drug Resistance, Neoplasm,
pubmed-meshheading:16968534-Factor Analysis, Statistical,
pubmed-meshheading:16968534-Female,
pubmed-meshheading:16968534-Humans,
pubmed-meshheading:16968534-Models, Biological,
pubmed-meshheading:16968534-Oligonucleotide Array Sequence Analysis,
pubmed-meshheading:16968534-Ovarian Neoplasms,
pubmed-meshheading:16968534-Principal Component Analysis,
pubmed-meshheading:16968534-RNA, Neoplasm,
pubmed-meshheading:16968534-Research Design,
pubmed-meshheading:16968534-Reverse Transcriptase Polymerase Chain Reaction
|
pubmed:year |
2006
|
pubmed:articleTitle |
A biological question and a balanced (orthogonal) design: the ingredients to efficiently analyze two-color microarrays with Confirmatory Factor Analysis.
|
pubmed:affiliation |
Department of Gynecologic Oncology, University Medical Center Groningen and University of Groningen, PO-box 30.001, 9700 RB, Groningen, The Netherlands. a.p.g.crijns@med.umcg.nl
|
pubmed:publicationType |
Journal Article,
Comparative Study,
Research Support, Non-U.S. Gov't
|