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Volumn 19, Issue 16, 2013, Pages 4315-4325

Impact of bioinformatic procedures in the development and translation of high-throughput molecular classifiers in oncology

Author keywords

[No Author keywords available]

Indexed keywords

BIOINFORMATICS; CANCER CLASSIFICATION; CANCER PATIENT; CLINICAL PRACTICE; DATA PROCESSING; EXPERIMENTAL DESIGN; GENE EXPRESSION; GENE SEQUENCE; GENOME ANALYSIS; INTERNAL BIAS; INTERNAL CONSISTENCY; LUNG NON SMALL CELL CANCER; MOLECULAR PATHOLOGY; PRIORITY JOURNAL; QUALITY CONTROL PROCEDURES; REVIEW; STATISTICAL ANALYSIS; VALIDATION PROCESS;

EID: 84883018050     PISSN: 10780432     EISSN: 15573265     Source Type: Journal    
DOI: 10.1158/1078-0432.CCR-12-3937     Document Type: Review
Times cited : (35)

References (75)
  • 2
    • 77954242530 scopus 로고    scopus 로고
    • Molecular circuits of solid tumors: Prognostic and predictive tools for bedside use
    • Ferté C, Andre F, Soria J-C. Molecular circuits of solid tumors: prognostic and predictive tools for bedside use. Nat Rev Clin Oncol 2010;7:367-80.
    • (2010) Nat Rev Clin Oncol , vol.7 , pp. 367-380
    • Ferté, C.1    Andre, F.2    Soria, J.-C.3
  • 3
    • 77953004083 scopus 로고    scopus 로고
    • Why most gene expression signatures of tumors have not been useful in the clinic
    • Koscielny S. Why most gene expression signatures of tumors have not been useful in the clinic. Sci Transl Med 2010;2:14ps2.
    • (2010) Sci Transl Med , vol.2
    • Koscielny, S.1
  • 4
    • 77950571895 scopus 로고    scopus 로고
    • Gene expression-based prognostic signatures in lung cancer: Ready for clinical use?
    • Subramanian J, Simon R. Gene expression-based prognostic signatures in lung cancer: ready for clinical use? J Natl Cancer Inst 2010; 102:464-74.
    • (2010) J Natl Cancer Inst , vol.102 , pp. 464-474
    • Subramanian, J.1    Simon, R.2
  • 6
    • 33845404310 scopus 로고    scopus 로고
    • Sample size planning for developing classifiers using high-dimensional DNA microarray data
    • Dobbin KK, Simon RM. Sample size planning for developing classifiers using high-dimensional DNA microarray data. Biostatistics 2007;8: 101-17.
    • (2007) Biostatistics , vol.8 , pp. 101-117
    • Dobbin, K.K.1    Simon, R.M.2
  • 7
    • 0037316303 scopus 로고    scopus 로고
    • A comparison of normalization methods for high density oligonucleotide array data based on variance and bias
    • Bolstad BM, Irizarry RA, Astrand M, Speed TP. A comparison of normalization methods for high density oligonucleotide array data based on variance and bias. Bioinformatics 2003;19:185-93.
    • (2003) Bioinformatics , vol.19 , pp. 185-193
    • Bolstad, B.M.1    Irizarry, R.A.2    Astrand, M.3    Speed, T.P.4
  • 8
    • 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
    • Shi L, Campbell G, Jones WD, Campagne F, Wen Z, Walker SJ, et al. The MicroArray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive models. Nat Biotechnol 2010;28:827-38.
    • (2010) Nat Biotechnol , vol.28 , pp. 827-838
    • Shi, L.1    Campbell, G.2    Jones, W.D.3    Campagne, F.4    Wen, Z.5    Walker, S.J.6
  • 9
    • 59549093642 scopus 로고    scopus 로고
    • ArrayQualityMetrics-a biocon-ductor package for quality assessment of microarray data
    • Kauffmann A, Gentleman R, Huber W. arrayQualityMetrics-a biocon-ductor package for quality assessment of microarray data. Bioinfor-matics 2009;25:415-6.
    • (2009) Bioinfor-matics , vol.25 , pp. 415-416
    • Kauffmann, A.1    Gentleman, R.2    Huber, W.3
  • 10
    • 77949481052 scopus 로고    scopus 로고
    • Evaluation of statistical methods for normalization and differential expression in mRNA-Seq experiments
    • Bullard JH, Purdom E, Hansen KD, Dudoit S. Evaluation of statistical methods for normalization and differential expression in mRNA-Seq experiments. BMC Bioinformatics 2010;11:94.
    • (2010) BMC Bioinformatics , vol.11 , pp. 94
    • Bullard, J.H.1    Purdom, E.2    Hansen, K.D.3    Dudoit, S.4
  • 13
    • 34848914038 scopus 로고    scopus 로고
    • Capturing heterogeneity in gene expression studies by surrogate variable analysis
    • Leek JT, Storey JD. Capturing heterogeneity in gene expression studies by surrogate variable analysis. PLoS Genet 2007;3:1724-35.
    • (2007) PLoS Genet , vol.3 , pp. 1724-1735
    • Leek, J.T.1    Storey, J.D.2
  • 15
    • 84863453861 scopus 로고    scopus 로고
    • Technical and biological variance structure in mRNA-Seq data: Life in the real world
    • Oberg AL, Bot BM, Grill DE, Poland GA, Therneau TM. Technical and biological variance structure in mRNA-Seq data: life in the real world. BMC Genomics 2012;13:304.
    • (2012) BMC Genomics , vol.13 , pp. 304
    • Oberg, A.L.1    Bot, B.M.2    Grill, D.E.3    Poland, G.A.4    Therneau, T.M.5
  • 16
    • 78751682536 scopus 로고    scopus 로고
    • Overcoming bias and systematic errors in next generation sequencing data
    • Taub MA, Corrada Bravo H, Irizarry RA. Overcoming bias and systematic errors in next generation sequencing data. Genome Med 2010;2:87.
    • (2010) Genome Med , vol.2 , pp. 87
    • Taub, M.A.1    Corrada Bravo, H.2    Irizarry, R.A.3
  • 17
    • 79952230540 scopus 로고    scopus 로고
    • Removing batch effects in analysis of expression microarray data: An evaluation of six batch adjustment methods
    • Chen C, Grennan K, Badner J, Zhang D, Gershon E, Jin L, et al. Removing batch effects in analysis of expression microarray data: an evaluation of six batch adjustment methods. PloS ONE 2011;6:e17238.
    • (2011) PloS ONE , vol.6
    • Chen, C.1    Grennan, K.2    Badner, J.3    Zhang, D.4    Gershon, E.5    Jin, L.6
  • 18
    • 49149129916 scopus 로고    scopus 로고
    • Gene expression-based survival prediction in lung adenocarcinoma: A multi-site, blinded validation study
    • Director's Challenge Consortium for the Molecular Classification of Lung Adenocarcinoma
    • Director's Challenge Consortium for the Molecular Classification of Lung Adenocarcinoma, Shedden K, Taylor JMG, Enkemann SA, Tsao M-S, Yeatman TJ, et al. Gene expression-based survival prediction in lung adenocarcinoma: a multi-site, blinded validation study. Nat Med 2008; 14: 822-7.
    • (2008) Nat Med , vol.14 , pp. 822-827
    • Shedden, K.1    Taylor, J.M.G.2    Enkemann, S.A.3    Tsao, M.-S.4    Yeatman, T.J.5
  • 19
    • 78649680251 scopus 로고    scopus 로고
    • Prognostic and predictive gene signature for adjuvant chemotherapy in resected non-small-cell lung cancer
    • Zhu C-Q, Ding K, Strumpf D, Weir BA, Meyerson M, Pennell N, et al. Prognostic and predictive gene signature for adjuvant chemotherapy in resected non-small-cell lung cancer. J Clin Oncol 2010;28:4417-24.
    • (2010) J Clin Oncol , vol.28 , pp. 4417-4424
    • Zhu, C.-Q.1    Ding, K.2    Strumpf, D.3    Weir, B.A.4    Meyerson, M.5    Pennell, N.6
  • 20
    • 77956418156 scopus 로고    scopus 로고
    • Gene expression-based classification of non-small cell lung carcinomas and survival prediction
    • Hou J, Aerts J, Den Hamer B, Van Ijcken W, Den Bakker M, Riegman P, et al. Gene expression-based classification of non-small cell lung carcinomas and survival prediction. PloS ONE 2010;5:e10312.
    • (2010) PloS ONE , vol.5
    • Hou, J.1    Aerts, J.2    Den Hamer, B.3    Van Ijcken, W.4    Den Bakker, M.5    Riegman, P.6
  • 21
    • 84866894408 scopus 로고    scopus 로고
    • Comprehensive genomic characterization of squamous cell lung cancers
    • Cancer Genome Atlas Research Network.
    • Cancer Genome Atlas Research Network. Comprehensive genomic characterization of squamous cell lung cancers. Nature 2012;489: 519-25.
    • (2012) Nature , vol.489 , pp. 519-525
  • 22
    • 0035752668 scopus 로고    scopus 로고
    • Feature extraction and normalization algorithms for high-density oligonucleotide gene expression array data
    • Schadt EE, Li C, Ellis B, Wong WH. Feature extraction and normalization algorithms for high-density oligonucleotide gene expression array data. J Cell Biochem Suppl 2001;Suppl 37:120-5.
    • (2001) J Cell Biochem Suppl , Issue.SUPPL. 37 , pp. 120-125
    • Schadt, E.E.1    Li, C.2    Ellis, B.3    Wong, W.H.4
  • 23
    • 17744413236 scopus 로고    scopus 로고
    • Model-based analysis of oligonucleotide arrays: Model validation, design issues and standard error application
    • RESEARCH0032
    • Li C, Hung Wong W. Model-based analysis of oligonucleotide arrays: model validation, design issues and standard error application. Genome Biol 2001;2:RESEARCH0032.
    • (2001) Genome Biol , vol.2
    • Li, C.1    Hung Wong, W.2
  • 24
    • 3042694117 scopus 로고    scopus 로고
    • Large-scale meta-analysis of cancer microarray data identifies common transcriptional profiles of neoplastic transformation and progression
    • Rhodes DR, Yu J, Shanker K, Deshpande N, Varambally R, Ghosh D, et al. Large-scale meta-analysis of cancer microarray data identifies common transcriptional profiles of neoplastic transformation and progression. Proc Natl Acad Sci U S A 2004;101:9309-14.
    • (2004) Proc Natl Acad Sci U S A , vol.101 , pp. 9309-9314
    • Rhodes, D.R.1    Yu, J.2    Shanker, K.3    Deshpande, N.4    Varambally, R.5    Ghosh, D.6
  • 25
    • 70349984003 scopus 로고    scopus 로고
    • Moderated effect size and P-value combinations for microarray meta-analyses
    • Marot G, Foulley J, Mayer C, Jaffrézic F. Moderated effect size and P-value combinations for microarray meta-analyses. Bioinformatics 2009;25:2692-9.
    • (2009) Bioinformatics , vol.25 , pp. 2692-2699
    • Marot, G.1    Foulley, J.2    Mayer, C.3    Jaffrézic, F.4
  • 26
    • 77955104946 scopus 로고    scopus 로고
    • Comparison study of microarray meta-analysis methods
    • Campain A, Yang YH. Comparison study of microarray meta-analysis methods. BMC Bioinformatics 2010;11:408.
    • (2010) BMC Bioinformatics , vol.11 , pp. 408
    • Campain, A.1    Yang, Y.H.2
  • 29
    • 0035942271 scopus 로고    scopus 로고
    • Significance analysis of microarrays applied to the ionizing radiation response
    • Tusher VG, Tibshirani R, Chu G. Significance analysis of microarrays applied to the ionizing radiation response. Proc Natl Acad Sci U S A 2001;98:5116-21.
    • (2001) Proc Natl Acad Sci U S A , vol.98 , pp. 5116-5121
    • Tusher, V.G.1    Tibshirani, R.2    Chu, G.3
  • 30
    • 22844446947 scopus 로고    scopus 로고
    • An integrative genomics approach to infer causal associations between gene expression and disease
    • Schadt EE, Lamb J, Yang X, Zhu J, Edwards S, Guhathakurta D, et al. An integrative genomics approach to infer causal associations between gene expression and disease. Nat Genet 2005;37:710-7.
    • (2005) Nat Genet , vol.37 , pp. 710-717
    • Schadt, E.E.1    Lamb, J.2    Yang, X.3    Zhu, J.4    Edwards, S.5    Guhathakurta, D.6
  • 31
    • 4043181214 scopus 로고    scopus 로고
    • Cancer genes and the pathways they control
    • Vogelstein B, Kinzler KW. Cancer genes and the pathways they control. Nat Med 2004;10:789-99.
    • (2004) Nat Med , vol.10 , pp. 789-799
    • Vogelstein, B.1    Kinzler, K.W.2
  • 32
    • 33845432928 scopus 로고    scopus 로고
    • Adjusting batch effects in microarray expression data using empirical Bayes methods
    • Johnson WE, Li C, Rabinovic A. Adjusting batch effects in microarray expression data using empirical Bayes methods. Biostatistics 2007;8:118-27.
    • (2007) Biostatistics , vol.8 , pp. 118-127
    • Johnson, W.E.1    Li, C.2    Rabinovic, A.3
  • 34
    • 84877028141 scopus 로고    scopus 로고
    • Comprehensive molecular portraits of human breast tumours
    • Cancer Genome Atlas Network.
    • Cancer Genome Atlas Network. Comprehensive molecular portraits of human breast tumours. Nature 2012;490:61-70.
    • (2012) Nature , vol.490 , pp. 61-70
  • 35
    • 84877254190 scopus 로고    scopus 로고
    • Integrated genomic characterization of endometrial carcinoma
    • Cancer Genome Atlas Research Network
    • Cancer Genome Atlas Research Network, Kandoth C, Schultz N, Cherniack AD, Akbani R, Liu Y, et al. Integrated genomic characterization of endometrial carcinoma. Nature 2013;497:67-73.
    • (2013) Nature , vol.497 , pp. 67-73
    • Kandoth, C.1    Schultz, N.2    Cherniack, A.D.3    Akbani, R.4    Liu, Y.5
  • 38
    • 39649084637 scopus 로고    scopus 로고
    • Bioinformatics challenges of new sequencing technology
    • Pop M, Salzberg SL. Bioinformatics challenges of new sequencing technology. Trends Genet 2008;24:142-9.
    • (2008) Trends Genet , vol.24 , pp. 142-149
    • Pop, M.1    Salzberg, S.L.2
  • 39
    • 79960208246 scopus 로고    scopus 로고
    • Sequencing technology does not eliminate biological variability
    • Hansen KD, Wu Z, Irizarry RA, Leek JT. Sequencing technology does not eliminate biological variability. Nat Biotech 2011;29:572-3.
    • (2011) Nat Biotech , vol.29 , pp. 572-573
    • Hansen, K.D.1    Wu, Z.2    Irizarry, R.A.3    Leek, J.T.4
  • 42
    • 84858068675 scopus 로고    scopus 로고
    • Removing technical variability in RNA-seq data using conditional quantile normalization
    • Hansen KD, Irizarry RA, Wu Z. Removing technical variability in RNA-seq data using conditional quantile normalization. Biostatistics 2012; 13:204-16.
    • (2012) Biostatistics , vol.13 , pp. 204-216
    • Hansen, K.D.1    Irizarry, R.A.2    Wu, Z.3
  • 43
    • 84866853818 scopus 로고    scopus 로고
    • BSmooth: From whole genome bisulfite sequencing reads to differentially methylated regions
    • Hansen KD, Langmead B, Irizarry RA. BSmooth: from whole genome bisulfite sequencing reads to differentially methylated regions. Genome Biol 2012;13:R83.
    • (2012) Genome Biol , vol.13
    • Hansen, K.D.1    Langmead, B.2    Irizarry, R.A.3
  • 44
    • 37549029793 scopus 로고    scopus 로고
    • The properties of high-dimensional data spaces: Implications for exploring gene and protein expression data
    • Clarke R, Ressom HW, Wang A, Xuan J, Liu MC, Gehan EA, et al. The properties of high-dimensional data spaces: implications for exploring gene and protein expression data. Nat Rev Cancer 2008;8:37-49.
    • (2008) Nat Rev Cancer , vol.8 , pp. 37-49
    • Clarke, R.1    Ressom, H.W.2    Wang, A.3    Xuan, J.4    Liu, M.C.5    Gehan, E.A.6
  • 45
    • 0025066941 scopus 로고
    • More powerful procedures for multiple significance testing
    • Hochberg Y, Benjamini Y. More powerful procedures for multiple significance testing. Stat Med 1990;9:811-8.
    • (1990) Stat Med , vol.9 , pp. 811-818
    • Hochberg, Y.1    Benjamini, Y.2
  • 46
    • 0002294347 scopus 로고
    • A simple sequentially rejective multiple test procedure
    • Holm S. A simple sequentially rejective multiple test procedure. Scand J Stat 1979;6:65-70.
    • (1979) Scand J Stat , vol.6 , pp. 65-70
    • Holm, S.1
  • 47
    • 84943987463 scopus 로고
    • Multiple comparisons among means
    • Dunn O. Multiple comparisons among means. J Am Statist Assoc 1961;56:52-64.
    • (1961) J Am Statist Assoc , vol.56 , pp. 52-64
    • Dunn, O.1
  • 49
    • 13444282534 scopus 로고    scopus 로고
    • Outcome signature genes in breast cancer: Is there a unique set?
    • Ein-Dor L, Kela I, Getz G, Givol D, Domany E. Outcome signature genes in breast cancer: is there a unique set? Bioinformatics 2005;21:171-8.
    • (2005) Bioinformatics , vol.21 , pp. 171-178
    • Ein-Dor, L.1    Kela, I.2    Getz, G.3    Givol, D.4    Domany, E.5
  • 50
    • 84855679008 scopus 로고    scopus 로고
    • Caveats and pitfalls of ROC analysis in clinical microarray research (and how to avoid them)
    • Berrar D, Flach P. Caveats and pitfalls of ROC analysis in clinical microarray research (and how to avoid them). Brief Bioinform 2012; 13:83-97.
    • (2012) Brief Bioinform , vol.13 , pp. 83-97
    • Berrar, D.1    Flach, P.2
  • 51
    • 15044357936 scopus 로고    scopus 로고
    • Survival model predictive accuracy and ROC curves
    • Heagerty PJ, Zheng Y. Survival model predictive accuracy and ROC curves. Biometrics 2005;61:92-105.
    • (2005) Biometrics , vol.61 , pp. 92-105
    • Heagerty, P.J.1    Zheng, Y.2
  • 52
    • 1042301961 scopus 로고    scopus 로고
    • Evaluating a new marker's predictive contribution
    • Kattan MW. Evaluating a new marker's predictive contribution. Clin Cancer Res 2004;10:822-4.
    • (2004) Clin Cancer Res , vol.10 , pp. 822-824
    • Kattan, M.W.1
  • 53
    • 80055090025 scopus 로고    scopus 로고
    • Most random gene expression signatures are significantly associated with breast cancer outcome
    • Venet D, Dumont JE, Detours V. Most random gene expression signatures are significantly associated with breast cancer outcome. PLoS Comput Biol 2011;7:e1002240.
    • (2011) PLoS Comput Biol , vol.7
    • Venet, D.1    Dumont, J.E.2    Detours, V.3
  • 55
    • 84865442609 scopus 로고    scopus 로고
    • Influence of chemotherapy on EGFR mutation status among patients with non-small-cell lung cancer
    • Bai H, Wang Z, Chen K, Zhao J, Lee JJ, Wang S, et al. Influence of chemotherapy on EGFR mutation status among patients with non-small-cell lung cancer. J Clin Oncol 2012;30:3077-83.
    • (2012) J Clin Oncol , vol.30 , pp. 3077-3083
    • Bai, H.1    Wang, Z.2    Chen, K.3    Zhao, J.4    Lee, J.J.5    Wang, S.6
  • 56
    • 84864326095 scopus 로고    scopus 로고
    • From cancer genomes to oncogenic drivers, tumour dependencies and therapeutic targets
    • Eifert C, Powers RS. From cancer genomes to oncogenic drivers, tumour dependencies and therapeutic targets. Nat Rev Cancer 2012; 12:572-8.
    • (2012) Nat Rev Cancer , vol.12 , pp. 572-578
    • Eifert, C.1    Powers, R.S.2
  • 58
    • 79957458567 scopus 로고    scopus 로고
    • Cell-free nucleic acids as biomarkers in cancer patients
    • Schwarzenbach H, Hoon DSB, Pantel K. Cell-free nucleic acids as biomarkers in cancer patients. Nat Rev Cancer 2011;11:426-37.
    • (2011) Nat Rev Cancer , vol.11 , pp. 426-437
    • Schwarzenbach, H.1    Hoon, D.S.B.2    Pantel, K.3
  • 61
    • 15744374441 scopus 로고    scopus 로고
    • Clinical trial designs for predictive marker validation in cancer treatment trials
    • Sargent DJ, Conley BA, Allegra C, Collette L. Clinical trial designs for predictive marker validation in cancer treatment trials. J Clin Oncol 2005;23:2020-7.
    • (2005) J Clin Oncol , vol.23 , pp. 2020-2027
    • Sargent, D.J.1    Conley, B.A.2    Allegra, C.3    Collette, L.4
  • 62
    • 58149151278 scopus 로고    scopus 로고
    • The use of genomics in clinical trial design
    • Simon R. The use of genomics in clinical trial design. Clin Cancer Res 2008;14:5984-93.
    • (2008) Clin Cancer Res , vol.14 , pp. 5984-5993
    • Simon, R.1
  • 63
    • 84859721881 scopus 로고    scopus 로고
    • A two-stage Bayesian design for co-development of new drugs and companion diagnostics
    • Karuri SW, Simon R. A two-stage Bayesian design for co-development of new drugs and companion diagnostics. Stat Med 2012; 31:901-14.
    • (2012) Stat Med , vol.31 , pp. 901-914
    • Karuri, S.W.1    Simon, R.2
  • 64
    • 84864489915 scopus 로고    scopus 로고
    • Design of a phase III clinical trial with prospective biomarker validation: SWOG S0819
    • Redman MW, Crowley JJ, Herbst RS, Hirsch FR, Gandara DR. Design of a phase III clinical trial with prospective biomarker validation: SWOG S0819. Clin Cancer Res 2012;18:4004-12.
    • (2012) Clin Cancer Res , vol.18 , pp. 4004-4012
    • Redman, M.W.1    Crowley, J.J.2    Herbst, R.S.3    Hirsch, F.R.4    Gandara, D.R.5
  • 65
    • 6044278144 scopus 로고    scopus 로고
    • Evaluating the efficiency of targeted designs for randomized clinical trials
    • Simon R, Maitournam A. Evaluating the efficiency of targeted designs for randomized clinical trials. Clin Cancer Res 2004;10:6759-63.
    • (2004) Clin Cancer Res , vol.10 , pp. 6759-6763
    • Simon, R.1    Maitournam, A.2
  • 66
    • 84868574658 scopus 로고    scopus 로고
    • Developing and validating continuous genomic signatures in randomized clinical trials for predictive medicine
    • Matsui S, Simon R, Qu P, Shaughnessy JD, Barlogie B, Crowley J. Developing and validating continuous genomic signatures in randomized clinical trials for predictive medicine. Clin Cancer Res 2012;18: 6065-73.
    • (2012) Clin Cancer Res , vol.18 , pp. 6065-6073
    • Matsui, S.1    Simon, R.2    Qu, P.3    Shaughnessy, J.D.4    Barlogie, B.5    Crowley, J.6
  • 67
    • 27744537954 scopus 로고    scopus 로고
    • Adaptive signature design: An adaptive clinical trial design for generating and prospectively testing a gene expression signature for sensitive patients
    • Freidlin B, Simon R. Adaptive signature design: an adaptive clinical trial design for generating and prospectively testing a gene expression signature for sensitive patients. Clin Cancer Res 2005;11: 7872-8.
    • (2005) Clin Cancer Res , vol.11 , pp. 7872-7878
    • Freidlin, B.1    Simon, R.2
  • 68
    • 18344396568 scopus 로고    scopus 로고
    • Minimum information about a microarray experiment (MIAME)-toward standards for microarray data
    • Brazma A, Hingamp P, Quackenbush J, Sherlock G, Spellman P, Stoeckert C, et al. Minimum information about a microarray experiment (MIAME)-toward standards for microarray data. Nat Genet 2001;29: 365-71.
    • (2001) Nat Genet , vol.29 , pp. 365-371
    • Brazma, A.1    Hingamp, P.2    Quackenbush, J.3    Sherlock, G.4    Spellman, P.5    Stoeckert, C.6
  • 70
    • 0035865149 scopus 로고    scopus 로고
    • Computer program to assist in making decisions about adjuvant therapy for women with early breast cancer
    • Ravdin PM, Siminoff LA, Davis GJ, Mercer MB, Hewlett J, Gerson N, et al. Computer program to assist in making decisions about adjuvant therapy for women with early breast cancer. J Clin Oncol 2001;19:980-91.
    • (2001) J Clin Oncol , vol.19 , pp. 980-991
    • Ravdin, P.M.1    Siminoff, L.A.2    Davis, G.J.3    Mercer, M.B.4    Hewlett, J.5    Gerson, N.6
  • 73
    • 0036947892 scopus 로고    scopus 로고
    • Robust estimators for expression analysis
    • Hubbell E, Liu WM, Mei R. Robust estimators for expression analysis. Bioinformatics 2002;18:1585-92.
    • (2002) Bioinformatics , vol.18 , pp. 1585-1592
    • Hubbell, E.1    Liu, W.M.2    Mei, R.3
  • 74
    • 0035793042 scopus 로고    scopus 로고
    • Model-based analysis of oligonucleotide arrays: Expression index computation and outlier detection
    • Li C, Wong WH. Model-based analysis of oligonucleotide arrays: expression index computation and outlier detection. Proc Natl Acad Sci U S A 2001;98:31-6.
    • (2001) Proc Natl Acad Sci U S A , vol.98 , pp. 31-36
    • Li, C.1    Wong, W.H.2


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