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rdf:type |
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lifeskim:mentions |
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pubmed:dateCreated |
2009-3-19
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pubmed:abstractText |
Microarray technology is increasingly used to identify potential biomarkers for cancer prognostics and diagnostics. Previously, we have developed the iterative Bayesian Model Averaging (BMA) algorithm for use in classification. Here, we extend the iterative BMA algorithm for application to survival analysis on high-dimensional microarray data. The main goal in applying survival analysis to microarray data is to determine a highly predictive model of patients' time to event (such as death, relapse, or metastasis) using a small number of selected genes. Our multivariate procedure combines the effectiveness of multiple contending models by calculating the weighted average of their posterior probability distributions. Our results demonstrate that our iterative BMA algorithm for survival analysis achieves high prediction accuracy while consistently selecting a small and cost-effective number of predictor genes.
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pubmed:grant |
http://linkedlifedata.com/resource/pubmed/grant/1 UL1 RR 025014-01,
http://linkedlifedata.com/resource/pubmed/grant/1R01HDO54511-01A1,
http://linkedlifedata.com/resource/pubmed/grant/K25 CA106988-05,
http://linkedlifedata.com/resource/pubmed/grant/K25CA106988,
http://linkedlifedata.com/resource/pubmed/grant/P50 HL073996,
http://linkedlifedata.com/resource/pubmed/grant/R01 DE012212-06,
http://linkedlifedata.com/resource/pubmed/grant/R01 GM084163-01A1,
http://linkedlifedata.com/resource/pubmed/grant/R01GM084163-01A1,
http://linkedlifedata.com/resource/pubmed/grant/R24 HD042828-10,
http://linkedlifedata.com/resource/pubmed/grant/R24 RR021863-01A1,
http://linkedlifedata.com/resource/pubmed/grant/U54 AI057141
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pubmed:commentsCorrections |
http://linkedlifedata.com/resource/pubmed/commentcorrection/19245714-10521349,
http://linkedlifedata.com/resource/pubmed/commentcorrection/19245714-10783804,
http://linkedlifedata.com/resource/pubmed/commentcorrection/19245714-11108479,
http://linkedlifedata.com/resource/pubmed/commentcorrection/19245714-11232339,
http://linkedlifedata.com/resource/pubmed/commentcorrection/19245714-11242594,
http://linkedlifedata.com/resource/pubmed/commentcorrection/19245714-11751221,
http://linkedlifedata.com/resource/pubmed/commentcorrection/19245714-11786909,
http://linkedlifedata.com/resource/pubmed/commentcorrection/19245714-11823860,
http://linkedlifedata.com/resource/pubmed/commentcorrection/19245714-11836210,
http://linkedlifedata.com/resource/pubmed/commentcorrection/19245714-12075054,
http://linkedlifedata.com/resource/pubmed/commentcorrection/19245714-12118244,
http://linkedlifedata.com/resource/pubmed/commentcorrection/19245714-12490447,
http://linkedlifedata.com/resource/pubmed/commentcorrection/19245714-12490681,
http://linkedlifedata.com/resource/pubmed/commentcorrection/19245714-12917485,
http://linkedlifedata.com/resource/pubmed/commentcorrection/19245714-15217521,
http://linkedlifedata.com/resource/pubmed/commentcorrection/19245714-15262801,
http://linkedlifedata.com/resource/pubmed/commentcorrection/19245714-15713736,
http://linkedlifedata.com/resource/pubmed/commentcorrection/19245714-16105897,
http://linkedlifedata.com/resource/pubmed/commentcorrection/19245714-16131522,
http://linkedlifedata.com/resource/pubmed/commentcorrection/19245714-16554338,
http://linkedlifedata.com/resource/pubmed/commentcorrection/19245714-16670007,
http://linkedlifedata.com/resource/pubmed/commentcorrection/19245714-16885343,
http://linkedlifedata.com/resource/pubmed/commentcorrection/19245714-16984324,
http://linkedlifedata.com/resource/pubmed/commentcorrection/19245714-17447952,
http://linkedlifedata.com/resource/pubmed/commentcorrection/19245714-17460773,
http://linkedlifedata.com/resource/pubmed/commentcorrection/19245714-17553857,
http://linkedlifedata.com/resource/pubmed/commentcorrection/19245714-17663766,
http://linkedlifedata.com/resource/pubmed/commentcorrection/19245714-9044528,
http://linkedlifedata.com/resource/pubmed/commentcorrection/19245714-9166827
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pubmed:language |
eng
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pubmed:journal |
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pubmed:citationSubset |
IM
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pubmed:status |
MEDLINE
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pubmed:issn |
1471-2105
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pubmed:author |
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pubmed:issnType |
Electronic
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pubmed:volume |
10
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pubmed:owner |
NLM
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pubmed:authorsComplete |
Y
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pubmed:pagination |
72
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pubmed:dateRevised |
2011-11-10
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pubmed:meshHeading |
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pubmed:year |
2009
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pubmed:articleTitle |
Iterative Bayesian Model Averaging: a method for the application of survival analysis to high-dimensional microarray data.
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pubmed:affiliation |
Institute of Technology/Computing and Software Systems, University of Washington, Tacoma, WA 98402, USA. amanu@u.washington.edu
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pubmed:publicationType |
Journal Article,
Research Support, U.S. Gov't, Non-P.H.S.,
Research Support, N.I.H., Extramural
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