메뉴 건너뛰기




Volumn 30, Issue 21, 2014, Pages 3062-3069

Más-o-menos: A simple sign averaging method for discrimination in genomic data analysis

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; BLADDER TUMOR; BREAST TUMOR; FEMALE; GENE EXPRESSION PROFILING; GENETICS; GENOMICS; HUMAN; OVARY TUMOR; PROCEDURES; SURVIVAL;

EID: 84911394810     PISSN: 13674803     EISSN: 14602059     Source Type: Journal    
DOI: 10.1093/bioinformatics/btu488     Document Type: Article
Times cited : (30)

References (65)
  • 1
    • 34547670602 scopus 로고    scopus 로고
    • Emmprin and survivin predict response and survival following cisplatin-containing chemotherapy in patients with advanced bladder cancer
    • Als, A.B. et al. (2007) Emmprin and survivin predict response and survival following cisplatin-containing chemotherapy in patients with advanced bladder cancer. Clin. Cancer Res., 13, 4407-4414.
    • (2007) Clin. Cancer Res. , vol.13 , pp. 4407-4414
    • Als, A.B.1
  • 2
    • 49549139345 scopus 로고
    • The area above the ordinal dominance graph and the area below the receiver operating characteristic graph
    • Bamber, D. (1975) The area above the ordinal dominance graph and the area below the receiver operating characteristic graph. J. Math. Psychol., 12, 387-415.
    • (1975) J. Math. Psychol. , vol.12 , pp. 387-415
    • Bamber, D.1
  • 3
    • 79959838081 scopus 로고    scopus 로고
    • Integrated genomic analyses of ovarian carcinoma
    • Bell, D. et al. (2011) Integrated genomic analyses of ovarian carcinoma. Nature, 474, 609-615.
    • (2011) Nature , vol.474 , pp. 609-615
    • Bell, D.1
  • 4
    • 84863139258 scopus 로고    scopus 로고
    • Angiogenic mRNA and microRNA gene expression signature predicts a novel subtype of serous ovarian cancer
    • Bentink, S. et al. (2012) Angiogenic mRNA and microRNA gene expression signature predicts a novel subtype of serous ovarian cancer. PloS One, 7, e30269.
    • (2012) PloS One , vol.7 , pp. e30269
    • Bentink, S.1
  • 6
    • 84902519819 scopus 로고    scopus 로고
    • Cross-study validation for assessment of prediction models and algorithms
    • Bernau, C. et al. (2014) Cross-study validation for assessment of prediction models and algorithms. Bioinformatics, 30, i105-i112.
    • (2014) Bioinformatics , vol.30 , pp. i105-i112
    • Bernau, C.1
  • 7
    • 20344375744 scopus 로고    scopus 로고
    • Bladder cancer outcome and subtype classification by gene expression
    • Blaveri, E. et al. (2005) Bladder cancer outcome and subtype classification by gene expression. Clin. Cancer Res., 11, 4044-4055.
    • (2005) Clin. Cancer Res. , vol.11 , pp. 4044-4055
    • Blaveri, E.1
  • 8
    • 48549092983 scopus 로고    scopus 로고
    • A gene signature predicting for survival in suboptimally debulked patients with ovarian cancer
    • Bonome, T. et al. (2008) A gene signature predicting for survival in suboptimally debulked patients with ovarian cancer. Cancer Res., 68, 5478-5486.
    • (2008) Cancer Res. , vol.68 , pp. 5478-5486
    • Bonome, T.1
  • 10
    • 75749115909 scopus 로고    scopus 로고
    • A multigene predictor of outcome in glioblastoma
    • Colman, H. et al. (2010) A multigene predictor of outcome in glioblastoma. Neuro-oncology, 12, 49-57.
    • (2010) Neuro-oncology , vol.12 , pp. 49-57
    • Colman, H.1
  • 11
    • 61449106520 scopus 로고    scopus 로고
    • Survival-related profile, pathways, and transcription factors in ovarian cancer
    • Crijns, A. et al. (2009) Survival-related profile, pathways, and transcription factors in ovarian cancer. PLoS Med., 6, e1000024.
    • (2009) PLoS Med. , vol.6 , pp. e1000024
    • Crijns, A.1
  • 12
    • 8644252736 scopus 로고    scopus 로고
    • Prediction of survival in follicular lymphoma based on molecular features of tumor-infiltrating immune cells
    • Dave, S.S. et al. (2004) Prediction of survival in follicular lymphoma based on molecular features of tumor-infiltrating immune cells. N. Engl. J. Med., 351, 2159-2169.
    • (2004) N. Engl. J. Med. , vol.351 , pp. 2159-2169
    • Dave, S.S.1
  • 13
    • 77956062585 scopus 로고    scopus 로고
    • A constrained linear estimator for multiple regression
    • Davis-Stober, C. et al. (2010) A constrained linear estimator for multiple regression. Psychometrika, 75, 521-541.
    • (2010) Psychometrika , vol.75 , pp. 521-541
    • Davis-Stober, C.1
  • 14
    • 66849097914 scopus 로고    scopus 로고
    • A prognostic gene expression index in ovarian cancervalidation across different independent data sets
    • Denkert, C. et al. (2009) A prognostic gene expression index in ovarian cancervalidation across different independent data sets. J. Pathol., 218, 273-280.
    • (2009) J. Pathol. , vol.218 , pp. 273-280
    • Denkert, C.1
  • 15
    • 34250652449 scopus 로고    scopus 로고
    • Strong time dependence of the 76-gene prognostic signature for node-negative breast cancer patients in the transbig multicenter independent validation series
    • Desmedt, C. et al. (2007) Strong time dependence of the 76-gene prognostic signature for node-negative breast cancer patients in the transbig multicenter independent validation series. Clin. Cancer Res., 13, 3207-3214.
    • (2007) Clin. Cancer Res. , vol.13 , pp. 3207-3214
    • Desmedt, C.1
  • 16
    • 54449086895 scopus 로고    scopus 로고
    • Higher criticism thresholding: Optimal feature selection when useful features are rare and weak
    • Donoho, D. and Jin, J. (2008) Higher criticism thresholding: Optimal feature selection when useful features are rare and weak. Proc. Nat Acad. Sci. USA, 105, 14790-14795.
    • (2008) Proc. Nat Acad. Sci. USA , vol.105 , pp. 14790-14795
    • Donoho, D.1    Jin, J.2
  • 17
    • 33947512381 scopus 로고    scopus 로고
    • An integrated genomic-based approach to individualized treatment of patients with advanced-stage ovarian cancer
    • Dressman, H. et al. (2007) An integrated genomic-based approach to individualized treatment of patients with advanced-stage ovarian cancer. J. Clin. Oncol., 25, 517-525.
    • (2007) J. Clin. Oncol. , vol.25 , pp. 517-525
    • Dressman, H.1
  • 18
    • 84868156830 scopus 로고    scopus 로고
    • Survival prediction based on compound covariate under cox proportional hazard models
    • Emura, T. et al. (2012) Survival prediction based on compound covariate under cox proportional hazard models. PLoS One, 7, e47627.
    • (2012) PLoS One , vol.7 , pp. e47627
    • Emura, T.1
  • 19
    • 84876323512 scopus 로고    scopus 로고
    • Pathway index models for construction of patient-specific risk profiles
    • Eng, K.H. et al. (2013) Pathway index models for construction of patient-specific risk profiles. Stat. Med., 32, 1524-1535.
    • (2013) Stat. Med. , vol.32 , pp. 1524-1535
    • Eng, K.H.1
  • 20
    • 84863033309 scopus 로고    scopus 로고
    • Multi-gene expression predictors of single drug responses to adjuvant chemotherapy in ovarian carcinoma: Predicting platinum resistance
    • Ferriss, J.S. et al. (2012)Multi-gene expression predictors of single drug responses to adjuvant chemotherapy in ovarian carcinoma: predicting platinum resistance. PloS One, 7, e30550.
    • (2012) PloS One , vol.7 , pp. e30550
    • Ferriss, J.S.1
  • 21
    • 33645825388 scopus 로고    scopus 로고
    • Multicenter validation of a gene expression-based prognostic signature in lymph node-negative primary breast cancer
    • Foekens, J.A. et al. (2006) Multicenter validation of a gene expression-based prognostic signature in lymph node-negative primary breast cancer. J. Clin. Oncol., 24, 1665-1671.
    • (2006) J. Clin. Oncol. , vol.24 , pp. 1665-1671
    • Foekens, J.A.1
  • 22
    • 21744462998 scopus 로고    scopus 로고
    • On bias, variance, 0/1loss, and the curse-of-dimensionality
    • Friedman, J.H. (1997) On bias, variance, 0/1loss, and the curse-of-dimensionality. Data Min. Knowl. Discov., 1, 55-77.
    • (1997) Data Min. Knowl. Discov. , vol.1 , pp. 55-77
    • Friedman, J.H.1
  • 23
    • 77950537175 scopus 로고    scopus 로고
    • Regularization paths for generalized linear models via coordinate descent
    • Friedman, J.H. et al. (2010) Regularization paths for generalized linear models via coordinate descent. J. Stat. Softw., 33, 1-22.
    • (2010) J. Stat. Softw. , vol.33 , pp. 1-22
    • Friedman, J.H.1
  • 24
    • 84879407005 scopus 로고    scopus 로고
    • CuratedOvarianData: Clinically annotated data for the ovarian cancer transcriptome
    • bat013
    • Ganzfried, B.F. et al. (2013) curatedOvarianData: clinically annotated data for the ovarian cancer transcriptome. Database, 2013, bat013.
    • (2013) Database , vol.2013
    • Ganzfried, B.F.1
  • 25
    • 84857540547 scopus 로고    scopus 로고
    • A three-gene model to robustly identify breast cancer molecular subtypes
    • Haibe-Kains, B. et al. (2012) A three-gene model to robustly identify breast cancer molecular subtypes. J. Nat Cancer Inst., 104, 311-325.
    • (2012) J. Nat Cancer Inst. , vol.104 , pp. 311-325
    • Haibe-Kains, B.1
  • 26
    • 77956467193 scopus 로고    scopus 로고
    • An algorithm to discover gene signatures with predictive potential
    • Hallett, R.M. et al. (2010) An algorithm to discover gene signatures with predictive potential. J. Exp. Clin. Cancer Res., 29, 120.
    • (2010) J. Exp. Clin. Cancer Res. , vol.29 , pp. 120
    • Hallett, R.M.1
  • 27
    • 33745886270 scopus 로고    scopus 로고
    • Classifier technology and the illusion of progress
    • Hand, D.J. (2006) Classifier technology and the illusion of progress. Stat. Sci., 21, 1-14.
    • (2006) Stat. Sci. , vol.21 , pp. 1-14
    • Hand, D.J.1
  • 28
    • 85161148381 scopus 로고    scopus 로고
    • The elements of statistical learning: Data mining, inference and prediction
    • Hastie, T. et al. (2005) The elements of statistical learning: data mining, inference and prediction. Math. Intell., 27, 83-85.
    • (2005) Math. Intell. , vol.27 , pp. 83-85
    • Hastie, T.1
  • 29
    • 84942484786 scopus 로고
    • Ridge regression: Biased estimation for nonorthogonal problems
    • Hoerl, A. and Kennard, R. (1970) Ridge regression: biased estimation for nonorthogonal problems. Technometrics, 12, 55-67.
    • (1970) Technometrics , vol.12 , pp. 55-67
    • Hoerl, A.1    Kennard, R.2
  • 30
    • 84862188915 scopus 로고    scopus 로고
    • A dna repair pathway-focused score for prediction of outcomes in ovarian cancer treated with platinum-based chemotherapy
    • Kang, J. et al. (2012) A dna repair pathway-focused score for prediction of outcomes in ovarian cancer treated with platinum-based chemotherapy. J. Nat Cancer Inst., 104, 670-681.
    • (2012) J. Nat Cancer Inst. , vol.104 , pp. 670-681
    • Kang, J.1
  • 31
    • 76749089153 scopus 로고    scopus 로고
    • Predictive value of progression-related gene classifier in primary non-muscle invasive bladder cancer
    • Kim, W.J. et al. (2010) Predictive value of progression-related gene classifier in primary non-muscle invasive bladder cancer. Mol. Cancer, 9, 3.
    • (2010) Mol. Cancer , vol.9 , pp. 3
    • Kim, W.J.1
  • 32
    • 77955894453 scopus 로고    scopus 로고
    • Gene expression profile of BRCAness that correlates with responsiveness to chemotherapy and with outcome in patients with epithelial ovarian cancer
    • Konstantinopoulos, P. et al. (2010) Gene expression profile of BRCAness that correlates with responsiveness to chemotherapy and with outcome in patients with epithelial ovarian cancer. J. Clin. Oncol., 28, 3555-3561.
    • (2010) J. Clin. Oncol. , vol.28 , pp. 3555-3561
    • Konstantinopoulos, P.1
  • 33
    • 0009090729 scopus 로고
    • Comment on Estimating coefficients in linear models: It dont make no nevermind
    • Laughlin, J.E. (1978) Comment on Estimating coefficients in linear models: it dont make no nevermind. Psychol. Bull., 85, 247-253.
    • (1978) Psychol. Bull. , vol.85 , pp. 247-253
    • Laughlin, J.E.1
  • 34
    • 34848914038 scopus 로고    scopus 로고
    • Capturing heterogeneity in gene expression studies by surrogate variable analysis
    • Leek, J.T. and Storey, J.D. (2007) Capturing heterogeneity in gene expression studies by surrogate variable analysis. PLoS Genet., 3, e161-e161.
    • (2007) PLoS Genet. , vol.3 , pp. e161-e161
    • Leek, J.T.1    Storey, J.D.2
  • 35
    • 77956873627 scopus 로고    scopus 로고
    • Tackling the widespread and critical impact of batch effects in high-throughput data
    • Leek, J.T. et al. (2010) Tackling the widespread and critical impact of batch effects in high-throughput data. Nat. Rev. Genet., 11, 733-739.
    • (2010) Nat. Rev. Genet. , vol.11 , pp. 733-739
    • Leek, J.T.1
  • 36
    • 33845432928 scopus 로고    scopus 로고
    • Adjusting batch effects in microarray expression data using empirical Bayes methods
    • Li, C. and Rabinovic, A. (2007) Adjusting batch effects in microarray expression data using empirical Bayes methods. Biostatistics, 8, 118-127.
    • (2007) Biostatistics , vol.8 , pp. 118-127
    • Li, C.1    Rabinovic, A.2
  • 37
    • 84892372742 scopus 로고
    • The robust inference for the Cox proportional hazards model
    • Lin, D. and Wei, L. (1989) The robust inference for the Cox proportional hazards model. J. Am. Stat. Assoc., 84, 1074-1078.
    • (1989) J. Am. Stat. Assoc. , vol.84 , pp. 1074-1078
    • Lin, D.1    Wei, L.2
  • 38
    • 77951756330 scopus 로고    scopus 로고
    • Combined gene expression and genomic profiling define two intrinsic molecular subtypes of urothelial carcinoma and gene signatures for molecular grading and outcome
    • Lindgren, D. et al. (2010) Combined gene expression and genomic profiling define two intrinsic molecular subtypes of urothelial carcinoma and gene signatures for molecular grading and outcome. Cancer Res., 70, 3463-3472.
    • (2010) Cancer Res. , vol.70 , pp. 3463-3472
    • Lindgren, D.1
  • 39
    • 84984455297 scopus 로고
    • The flat maximum effect and linear scoring models for prediction
    • Lovie, A. and Lovie, P. (1986) The flat maximum effect and linear scoring models for prediction. J. Forecast., 5, 159-168.
    • (1986) J. Forecast. , vol.5 , pp. 159-168
    • Lovie, A.1    Lovie, P.2
  • 40
    • 78650735473 scopus 로고    scopus 로고
    • The microarray quality control (maqc)-ii study of common practices for the development and validation of microarray-based predictive models
    • MAQC Consortium (2010) The microarray quality control (maqc)-ii study of common practices for the development and validation of microarray-based predictive models. Nat. Biotechnol., 28, 827-865.
    • (2010) Nat. Biotechnol. , vol.28 , pp. 827-865
    • Consortium, M.1
  • 41
    • 23144461051 scopus 로고    scopus 로고
    • Genes that mediate breast cancer metastasis to lung
    • Minn, A.J. et al. (2005) Genes that mediate breast cancer metastasis to lung. Nature, 436, 518-524.
    • (2005) Nature , vol.436 , pp. 518-524
    • Minn, A.J.1
  • 42
    • 34147211281 scopus 로고    scopus 로고
    • Lung metastasis genes couple breast tumor size and metastatic spread
    • Minn, A.J. et al. (2007) Lung metastasis genes couple breast tumor size and metastatic spread. Proc. Nat Acad. Sci. USA, 104, 6740-6745.
    • (2007) Proc. Nat Acad. Sci. USA , vol.104 , pp. 6740-6745
    • Minn, A.J.1
  • 43
    • 70749118578 scopus 로고    scopus 로고
    • A gene signature predictive for outcome in advanced ovarian cancer identifies a survival factor: Microfibril-associated glycoprotein 2
    • Mok, S. et al. (2009) A gene signature predictive for outcome in advanced ovarian cancer identifies a survival factor: microfibril-associated glycoprotein 2. Cancer Cell, 16, 521-532.
    • (2009) Cancer Cell , vol.16 , pp. 521-532
    • Mok, S.1
  • 44
    • 84879275938 scopus 로고    scopus 로고
    • Modeling risk stratification in human cancer
    • Reme, T. et al. (2013) Modeling risk stratification in human cancer. Bioinformatics, 29, 1149-1157.
    • (2013) Bioinformatics , vol.29 , pp. 1149-1157
    • Reme, T.1
  • 45
    • 84857748705 scopus 로고    scopus 로고
    • Combination of a novel gene expression signature with a clinical nomogram improves the prediction of survival in high-risk bladder cancer
    • Riester, M. et al. (2012) Combination of a novel gene expression signature with a clinical nomogram improves the prediction of survival in high-risk bladder cancer. Clin. Cancer Res., 18, 1323-1333.
    • (2012) Clin. Cancer Res. , vol.18 , pp. 1323-1333
    • Riester, M.1
  • 46
    • 44849101184 scopus 로고    scopus 로고
    • The humoral immune system has a key prognostic impact in node-negative breast cancer
    • Schmidt, M. et al. (2008) The humoral immune system has a key prognostic impact in node-negative breast cancer. Cancer Res., 68, 5405-5413.
    • (2008) Cancer Res. , vol.68 , pp. 5405-5413
    • Schmidt, M.1
  • 48
    • 33947217497 scopus 로고    scopus 로고
    • A validated gene expression model of high-risk multiple myeloma is defined by deregulated expression of genes mapping to chromosome 1
    • Shaughnessy, J. et al. (2007) A validated gene expression model of high-risk multiple myeloma is defined by deregulated expression of genes mapping to chromosome 1. Blood, 109, 2276-2284.
    • (2007) Blood , vol.109 , pp. 2276-2284
    • Shaughnessy, J.1
  • 49
    • 84862576866 scopus 로고    scopus 로고
    • A molecular taxonomy for urothelial carcinoma
    • Sjodahl, G. et al. (2012) A molecular taxonomy for urothelial carcinoma. Clin. Cancer Res., 18, 3377-3386.
    • (2012) Clin. Cancer Res. , vol.18 , pp. 3377-3386
    • Sjodahl, G.1
  • 50
    • 33144462268 scopus 로고    scopus 로고
    • Gene expression profiling in breast cancer: Understanding the molecular basis of histologic grade to improve prognosis
    • Sotiriou, C. et al. (2006) Gene expression profiling in breast cancer: understanding the molecular basis of histologic grade to improve prognosis. J. Nat Cancer Inst., 98, 262-272.
    • (2006) J. Nat Cancer Inst. , vol.98 , pp. 262-272
    • Sotiriou, C.1
  • 51
    • 0000619374 scopus 로고
    • Misspecified proportional hazard models
    • Struthers, C. and Kalbfleisch, J. (1986) Misspecified proportional hazard models. Biometrika, 73, 363-369.
    • (1986) Biometrika , vol.73 , pp. 363-369
    • Struthers, C.1    Kalbfleisch, J.2
  • 52
    • 77957935139 scopus 로고    scopus 로고
    • Genomic index of sensitivity to endocrine therapy for breast cancer
    • Symmans, W.F. et al. (2010) Genomic index of sensitivity to endocrine therapy for breast cancer. J. Clin. Oncol., 28, 4111-4119.
    • (2010) J. Clin. Oncol. , vol.28 , pp. 4111-4119
    • Symmans, W.F.1
  • 53
    • 85194972808 scopus 로고    scopus 로고
    • Regression shrinkage and selection via the lasso
    • Tibshirani, R.J. (1996) Regression shrinkage and selection via the lasso. J. R. Stat. Soc. Ser. B, 58, 267-288.
    • (1996) J. R. Stat. Soc. Ser. B , vol.58 , pp. 267-288
    • Tibshirani, R.J.1
  • 54
    • 0031015557 scopus 로고    scopus 로고
    • The lasso method for variable selection in the Cox model
    • Tibshirani, R.J. (1997) The lasso method for variable selection in the Cox model. Stat. Med., 16, 385-395.
    • (1997) Stat. Med. , vol.16 , pp. 385-395
    • Tibshirani, R.J.1
  • 55
    • 52649085237 scopus 로고    scopus 로고
    • Novel molecular subtypes of serous and endometrioid ovarian cancer linked to clinical outcome
    • Tothill, R. et al. (2008) Novel molecular subtypes of serous and endometrioid ovarian cancer linked to clinical outcome. Clin. Cancer Res., 14, 5198-5208.
    • (2008) Clin. Cancer Res. , vol.14 , pp. 5198-5208
    • Tothill, R.1
  • 56
    • 79954466848 scopus 로고    scopus 로고
    • On the c-statistics for evaluating overall adequacy of risk prediction procedures with censored survival data
    • Uno, H. et al. (2011) On the c-statistics for evaluating overall adequacy of risk prediction procedures with censored survival data. Stat. Med., 30, 1105-1117.
    • (2011) Stat. Med. , vol.30 , pp. 1105-1117
    • Uno, H.1
  • 57
    • 0037407924 scopus 로고    scopus 로고
    • Predicting gene function by conserved co-expression
    • van Noort, V. et al. (2003) Predicting gene function by conserved co-expression. Trends Genet., 19, 238-242.
    • (2003) Trends Genet. , vol.19 , pp. 238-242
    • Van Noort, V.1
  • 58
    • 84873862912 scopus 로고    scopus 로고
    • Prognostically relevant gene signatures of high-grade serous ovarian carcinoma
    • Verhaak, R.G. et al. (2013) Prognostically relevant gene signatures of high-grade serous ovarian carcinoma. J. Clin. Invest., 123, 517.
    • (2013) J. Clin. Invest. , vol.123 , pp. 517
    • Verhaak, R.G.1
  • 59
    • 0028572354 scopus 로고
    • Penalized likelihood in cox regression
    • Verweij, P. and Van Houwelingen, H. (1994) Penalized likelihood in cox regression. Stat. Med., 13, 2427-2436.
    • (1994) Stat. Med. , vol.13 , pp. 2427-2436
    • Verweij, P.1    Van Houwelingen, H.2
  • 60
    • 77958110812 scopus 로고    scopus 로고
    • Conducting meta-analyses in R with the metafor package
    • Viechtbauer, W. (2010) Conducting meta-analyses in R with the metafor package. J. Stat. Softw., 36, 1-48.
    • (2010) J. Stat. Softw. , vol.36 , pp. 1-48
    • Viechtbauer, W.1
  • 61
    • 58149410197 scopus 로고
    • Estimating coefficients in linear models: It dont make no nevermind
    • Wainer, H. (1976) Estimating coefficients in linear models: it dont make no nevermind. Psychol. Bull., 83, 213-217.
    • (1976) Psychol. Bull. , vol.83 , pp. 213-217
    • Wainer, H.1
  • 62
    • 84902460506 scopus 로고    scopus 로고
    • Comparative meta-analysis of prognostic gene signatures for Late-Stage ovarian cancer
    • pii: dju049
    • Waldron, L. et al. (2014) Comparative meta-analysis of prognostic gene signatures for Late-Stage ovarian cancer. J. Nat Cancer Inst., 106, pii: dju049.
    • (2014) J. Nat Cancer Inst. , pp. 106
    • Waldron, L.1
  • 63
    • 13844310310 scopus 로고    scopus 로고
    • Gene-expression profiles to predict distant metastasis of lymph-node-negative primary breast cancer
    • Wang, Y. et al. (2005) Gene-expression profiles to predict distant metastasis of lymph-node-negative primary breast cancer. Lancet, 365, 671-679.
    • (2005) Lancet , vol.365 , pp. 671-679
    • Wang, Y.1
  • 64
    • 77950526081 scopus 로고    scopus 로고
    • Gene expression profile for predicting survival in advancedstage serous ovarian cancer across two independent datasets
    • Yoshihara, K. et al. (2010) Gene expression profile for predicting survival in advancedstage serous ovarian cancer across two independent datasets. PloS One, 5, e9615.
    • (2010) PloS One , vol.5 , pp. e9615
    • Yoshihara, K.1
  • 65
    • 84863247567 scopus 로고    scopus 로고
    • High-risk ovarian cancer based on 126-gene expression signature is uniquely characterized by downregulation of antigen presentation pathway
    • Yoshihara, K. et al. (2012) High-risk ovarian cancer based on 126-gene expression signature Is uniquely characterized by downregulation of antigen presentation pathway. Clin. Cancer Res., 18, 1374-1385.
    • (2012) Clin. Cancer Res. , vol.18 , pp. 1374-1385
    • Yoshihara, K.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.