Publications
Detailed Information
REGULARIZED MULTIVARIATE REGRESSION FOR IDENTIFYING MASTER PREDICTORS WITH APPLICATION TO INTEGRATIVE GENOMICS STUDY OF BREAST CANCER
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Peng, Jie | - |
dc.contributor.author | Zhu, Ji | - |
dc.contributor.author | Bergamaschi, Anna | - |
dc.contributor.author | Han, Wonshik | - |
dc.contributor.author | Pollack, Jonathan R. | - |
dc.contributor.author | Wang, Pei | - |
dc.contributor.author | Noh, Dong-Young | - |
dc.date.accessioned | 2012-06-29T06:36:47Z | - |
dc.date.available | 2012-06-29T06:36:47Z | - |
dc.date.issued | 2010-03 | - |
dc.identifier.citation | ANNALS OF APPLIED STATISTICS; Vol.4 1; 53-77 | ko_KR |
dc.identifier.issn | 1932-6157 | - |
dc.identifier.uri | https://hdl.handle.net/10371/77965 | - |
dc.description.abstract | In this paper we propose a new method remMap-REgularized Multivariate regression for identifying MAster Predictors-for fitting multivariate response regression models under the high-dimension-low-sample-size setting. remMap is motivated by investigating the regulatory relationships among different biological molecules based on multiple types of high dimensional genomic data. Particularly, we are interested in studying the influence of DNA copy number alterations on RNA transcript levels. For this purpose, we model the dependence of the RNA expression levels on DNA copy numbers through multivariate linear regressions and utilize proper regularization to deal with the high dimensionality as well as to incorporate desired network structures. Criteria for selecting the tuning parameters are also discussed. The performance of the proposed method is illustrated through extensive simulation studies. Finally, remMap is applied to a breast cancer study, in which genome wide RNA transcript levels and DNA copy numbers were measured for 172 tumor samples. We identify a trans-hub region in cytoband 17q12-q21, whose amplification influences the RNA expression levels of more than 30 unlinked genes. These findings may lead to a better understanding of breast cancer pathology. | - |
dc.language.iso | en | ko_KR |
dc.publisher | INST MATHEMATICAL STATISTICS | ko_KR |
dc.subject | Sparse regression | - |
dc.subject | MAP (MAster Predictor) penalty | - |
dc.subject | DNA copy number alteration | - |
dc.subject | v-fold cross validation | - |
dc.subject | RNA transcript level | - |
dc.title | REGULARIZED MULTIVARIATE REGRESSION FOR IDENTIFYING MASTER PREDICTORS WITH APPLICATION TO INTEGRATIVE GENOMICS STUDY OF BREAST CANCER | ko_KR |
dc.type | Article | ko_KR |
dc.contributor.AlternativeAuthor | 한원식 | - |
dc.contributor.AlternativeAuthor | 노동영 | - |
dc.identifier.doi | 10.1214/09-AOAS271 | - |
dc.citation.journaltitle | ANNALS OF APPLIED STATISTICS | - |
dc.description.citedreference | Zhao P, 2009, ANN STAT, V37, P3468, DOI 10.1214/07-AOS584 | - |
dc.description.citedreference | Peng J, 2009, J AM STAT ASSOC, V104, P735, DOI 10.1198/jasa.2009.0126 | - |
dc.description.citedreference | KIM S, 2009, BIOINFORMATICS, V25, P204 | - |
dc.description.citedreference | Bergamaschi A, 2008, MOL ONCOL, V2, P327, DOI 10.1016/j.molonc.2008.09.004 | - |
dc.description.citedreference | Bai T, 2008, CARCINOGENESIS, V29, P473, DOI 10.1093/carcin/bgm221 | - |
dc.description.citedreference | Tibshirani R, 2008, BIOSTATISTICS, V9, P18, DOI 10.1093/biostatistics/kxm013 | - |
dc.description.citedreference | OBOZINSKI G, 2008, UNION SUPPORT RECOVE | - |
dc.description.citedreference | FRIEDMAN J, 2008, REGULARIZED PATHS GE | - |
dc.description.citedreference | Friedman J, 2007, ANN APPL STAT, V1, P302, DOI 10.1214/07-AOAS131 | - |
dc.description.citedreference | Zou H, 2007, ANN STAT, V35, P2173, DOI 10.1214/009053607000000127 | - |
dc.description.citedreference | Saal LH, 2007, P NATL ACAD SCI USA, V104, P7564, DOI 10.1073/pnas.0702507104 | - |
dc.description.citedreference | Langerod A, 2007, BREAST CANCER RES, V9, DOI 10.1186/bcr1675 | - |
dc.description.citedreference | Yuan M, 2007, J ROY STAT SOC B, V69, P329 | - |
dc.description.citedreference | Bergamaschi A, 2006, GENE CHROMOSOME CANC, V45, P1033, DOI 10.1002/gcc.20366 | - |
dc.description.citedreference | Kapp AV, 2006, BMC GENOMICS, V7, DOI 10.1186/1471-2164-7-231 | - |
dc.description.citedreference | Kao J, 2006, GENE CHROMOSOME CANC, V45, P761, DOI 10.1002/gcc.20339 | - |
dc.description.citedreference | Lutz RW, 2006, STAT SINICA, V16, P471 | - |
dc.description.citedreference | Sotiriou C, 2006, J NATL CANCER I, V98, P262, DOI 10.1093/jnci/djj052 | - |
dc.description.citedreference | Yuan M, 2006, J ROY STAT SOC B, V68, P49 | - |
dc.description.citedreference | Turlach BA, 2005, TECHNOMETRICS, V47, P349, DOI 10.1198/004017005000000139 | - |
dc.description.citedreference | Wang YX, 2005, LANCET, V365, P671 | - |
dc.description.citedreference | Zou H, 2005, J ROY STAT SOC B, V67, P301 | - |
dc.description.citedreference | Paik S, 2004, NEW ENGL J MED, V351, P2817 | - |
dc.description.citedreference | Zhao HJ, 2004, MOL BIOL CELL, V15, P2523, DOI 10.1091/mbc.E03-11-0786 | - |
dc.description.citedreference | Efron B, 2004, ANN STAT, V32, P407 | - |
dc.description.citedreference | CHANG HY, 2004, PLOS BIOL, V2 | - |
dc.description.citedreference | WANG P, 2004, THESIS STANFORD U | - |
dc.description.citedreference | Albertson DG, 2003, NAT GENET, V34, P369, DOI 10.1038/ng1215 | - |
dc.description.citedreference | Sorlie T, 2003, P NATL ACAD SCI USA, V100, P8418, DOI 10.1073/pnas.0932692100 | - |
dc.description.citedreference | Gardner TS, 2003, SCIENCE, V301, P102 | - |
dc.description.citedreference | van de Vijver MJ, 2002, NEW ENGL J MED, V347, P1999 | - |
dc.description.citedreference | Hyman E, 2002, CANCER RES, V62, P6240 | - |
dc.description.citedreference | Pollack JR, 2002, P NATL ACAD SCI USA, V99, P12963, DOI 10.1073/pnas.162471999 | - |
dc.description.citedreference | Brown PJ, 2002, J R STAT SOC B, V64, P519 | - |
dc.description.citedreference | Sorlie T, 2001, P NATL ACAD SCI USA, V98, P10869 | - |
dc.description.citedreference | Antoniadis A, 2001, J AM STAT ASSOC, V96, P939 | - |
dc.description.citedreference | Jeong H, 2001, NATURE, V411, P41 | - |
dc.description.citedreference | Brown PJ, 1999, BIOMETRIKA, V86, P635 | - |
dc.description.citedreference | BAKIN S, 1999, THESIS AUSTR NATL U | - |
dc.description.citedreference | Fu WJJ, 1998, J COMPUT GRAPH STAT, V7, P397 | - |
dc.description.citedreference | Brown PJ, 1998, J R STAT SOC B, V60, P627 | - |
dc.description.citedreference | REINSEL G, 1998, MULTIVARIATE REDUCED | - |
dc.description.citedreference | Fujikoshi Y, 1997, BIOMETRIKA, V84, P707 | - |
dc.description.citedreference | Breiman L, 1997, J ROY STAT SOC B MET, V59, P3 | - |
dc.description.citedreference | Tibshirani R, 1996, J ROY STAT SOC B MET, V58, P267 | - |
dc.description.citedreference | BEDRICK EJ, 1994, BIOMETRICS, V50, P226 | - |
dc.description.citedreference | FRANK IE, 1993, TECHNOMETRICS, V35, P109 | - |
dc.description.citedreference | IZENMAN AJ, 1975, J MULTIVARIATE ANAL, V5, P248 | - |
dc.description.citedreference | PENG J, REGULARIZED MULTIV S, DOI DOI 10.1214/09-AOAS271SUPP | - |
dc.description.tc | 8 | - |
- Appears in Collections:
- Files in This Item:
- There are no files associated with this item.
Item View & Download Count
Items in S-Space are protected by copyright, with all rights reserved, unless otherwise indicated.