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Content
Volume 24 (2024)
Volume 24, Issue 3 (In progress)
Pg 399 - 526 (November 2024)
Volume 24, Issue 2
Pg 197 - 397 (July 2024)
Volume 24, Issue 1
Pg 1 - 196 (March 2024)
Volume 23 (2023)
Volume 23, Issue 3
Pg 227 - 327 (November 2023)
Volume 23, Issue 2
Pg 95 - 225 (July 2023)
Volume 23, Issue 1
Pg 1 - 94 (March 2023)
Volume 22 (2022)
Volume 22,
Pg 1 - 84 (December 2022)
Volume 21 (2022)
Volume 21,
Pg 1 - 154 (September 2022)
Volume 20 (2022)
Volume 20,
Pg 1 - 123 (June 2022)
Volume 19 (2022)
Volume 19,
Pg 1 - 144 (March 2022)
Volume 18 (2021)
Volume 18, Issue 3
Pg 305 - 504 (December 2021)
Volume 18, Issue 2
Pg 149 - 303 (August 2021)
Volume 18, Issue 1
Pg 1 - 147 (April 2021)
Volume 17 (2020)
Volume 17, Issue 2
Pg 307 - 602 (December 2020)
Volume 17, Issue 1
Pg 1 - 305 (June 2020)
Volume 16 (2019)
Volume 16, Issue 2
Pg 1 - 158 (December 2019)
Volume 16, Issue 1
Pg 1 - 111 (June 2019)
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Volume 15, Issue 2
Pg 83 - 173 (December 2018)
Volume 15, Issue 1
Pg 1 - 82 (June 2018)
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Volume 14, Issue 2
Pg 85 - 120 (December 2017)
Volume 14, Issue 1
Pg 1 - 84 (June 2017)
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Pg 1 - 101 (June 2016)
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Pg 1 - 80 (June 2015)
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Pg 1 - 88 (June 2014)
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Volume 10, Issue 2
Pg 49 - 92 (November 2013)
Volume 10, Issue 1
Pg 1 - 48 (August 2013)
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Pg 67 - 118 (May 2013)
Volume 9, Issue 1
Pg 1 - 66 (February 2013)
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Volume 8, Issue 1-2 (Aug-Nov)
Pg 1 - 77 (November 2012)
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Pg 61 - 119 (May 2012)
Volume 7, Issue 1
Pg 1 - 59 (February 2012)
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Volume 6, Issue 2
Pg 77 - 120 (November 2011)
Volume 6, Issue 1
Pg 1 - 75 (August 2011)
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Volume 5, Issue 2
Pg 73 - 137 (May 2011)
Volume 5, Issue 1
Pg 1 - 71 (February 2011)
Volume 4 (2010)
Volume 4, Issue 3
Pg 213 - 311 (October 2010)
Volume 4, Issue 2
Pg 107 - 212 (June 2010)
Volume 4, Issue 1
Pg 1 - 105 (February 2010)
Volume 3 (2009)
Volume 3, Issue 3
Pg 171 - 256 (October 2009)
Volume 3, Issue 2
Pg 77 - 169 (June 2009)
Volume 3, Issue 1
Pg 1 - 75 (February 2009)
Volume 2 (2008)
Volume 2, Issue 3
Pg 169 - 261 (October 2008)
Volume 2, Issue 2
Pg 81 - 168 (June 2008)
Volume 2, Issue 1
Pg 1 - 80 (February 2008)
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Volume 1, Issue 3
Pg 217 - 306 (October 2007)
Volume 1, Issue 2
Pg 109 - 215 (June 2007)
Volume 1, Issue 1
Pg 1 - 108 (February 2007)
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JP Journal of Biostatistics
JP Journal of Biostatistics
Volume 3, Issue 1, Pages 17 - 39 (February 2009)
SURVIVAL PREDICTION WITH GENE EXPRESSION PROFILES
Wenqing He (Canada) and Grace Y. Yi (Canada)
Abstract:
There is extensive research on prediction of various clinical phenotypes using gene expression profiles. Success has been demonstrated in molecular classification of different cancer types. However, relatively less attention has been paid to study the connection of gene expressions to time to event of patients such as time to tumour metastasis, an important problem in cancer research. One reason is that traditional survival analysis techniques may not be directly applicable in dealing with gene expression data, as typically the number of genes is much larger than the number of subjects. A primary objective of microarray studies is to identify informative or differentially expressed genes, and based upon them to make predictions on outcomes such as tumor type in cancer research. We develop methods for selecting survival relevant genes which may explain the time to event, and build prediction models, based on those genes, for the survival probability. Specifically, dimension reduction methods are invoked to pick out informative gene profiles that carry survival information. Cox proportional hazards models are utilized to conduct prediction, and the prediction accuracy is assessed by means of the Receive Operating Curve (ROC) method. Extensions to other survival models, such as accelerated failure time models, can be done along the same line. Simulation studies are conducted to evaluate the performance of the proposed methods under various conditions. A real microarray data set is analyzed using the proposed methods.
Keywords and phrases:
Cox PH models, gene expression, microarray data, principal component analysis, Receive Operating Curve.
Number of Downloads:
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P-ISSN: 0973-5143
Journal Stats
Publication count:
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