메뉴 건너뛰기




Volumn 48, Issue 4, 2018, Pages 812-830.e14

Erratum: The Immune Landscape of Cancer (Immunity (2018) 48(4) (812–830.e14), (S1074761318301213), (10.1016/j.immuni.2018.03.023));The Immune Landscape of Cancer

(765)  Thorsson, Vésteinn a   Gibbs, David L a   Brown, Scott D b   Wolf, Denise c   Bortone, Dante S d   Ou Yang, Tai Hsien e   Porta Pardo, Eduard f,g   Gao, Galen F h,af   Plaisier, Christopher L a,i   Eddy, James A j   Ziv, Elad k   Culhane, Aedin C l   Paull, Evan O m   Sivakumar, I K Ashok n   Gentles, Andrew J o   Malhotra, Raunaq p   Farshidfar, Farshad q   Colaprico, Antonio r   Parker, Joel S d   Mose, Lisle E d   more..


Author keywords

cancer genomics; immune subtypes; immuno oncology; immunomodulatory; immunotherapy; integrative network analysis; tumor immunology; tumor microenvironment

Indexed keywords

B LYMPHOCYTE RECEPTOR; B RAF KINASE; CASPASE 8; INTERFERON CONSENSUS SEQUENCE BINDING PROTEIN; INTERFERON REGULATORY FACTOR 4; ISOCITRATE DEHYDROGENASE 1; MICRORNA; PROTEIN P53; STAT4 PROTEIN; STAT5A PROTEIN; T LYMPHOCYTE RECEPTOR; GAMMA INTERFERON; IFNG PROTEIN, HUMAN; TRANSFORMING GROWTH FACTOR BETA;

EID: 85044934017     PISSN: 10747613     EISSN: 10974180     Source Type: Journal    
DOI: 10.1016/j.immuni.2019.08.004     Document Type: Erratum
Times cited : (3770)

References (102)
  • 1
    • 84940502214 scopus 로고    scopus 로고
    • Predicting effective microRNA target sites in mammalian mRNAs
    • Agarwal, V., Bell, G.W., Nam, J.W., Bartel, D.P., Predicting effective microRNA target sites in mammalian mRNAs. eLife, 4, 2015, 10.7554/eLife.05005.
    • (2015) eLife , vol.4
    • Agarwal, V.1    Bell, G.W.2    Nam, J.W.3    Bartel, D.P.4
  • 2
    • 84975246805 scopus 로고    scopus 로고
    • Functional characterization of somatic mutations in cancer using network-based inference of protein activity
    • Alvarez, M.J., Shen, Y., Giorgi, F.M., Lachmann, A., Ding, B.B., Ye, B.H., Califano, A., Functional characterization of somatic mutations in cancer using network-based inference of protein activity. Nat. Genet. 48 (2016), 838–847.
    • (2016) Nat. Genet. , vol.48 , pp. 838-847
    • Alvarez, M.J.1    Shen, Y.2    Giorgi, F.M.3    Lachmann, A.4    Ding, B.B.5    Ye, B.H.6    Califano, A.7
  • 4
    • 44149084690 scopus 로고    scopus 로고
    • Using genetic markers to orient the edges in quantitative trait networks: the NEO software
    • Aten, J.E., Fuller, T.F., Lusis, A.J., Horvath, S., Using genetic markers to orient the edges in quantitative trait networks: the NEO software. BMC Syst. Biol., 2, 2008, 34.
    • (2008) BMC Syst. Biol. , vol.2 , pp. 34
    • Aten, J.E.1    Fuller, T.F.2    Lusis, A.J.3    Horvath, S.4
  • 9
    • 84960093795 scopus 로고    scopus 로고
    • Disentangling the relationship between tumor genetic programs and immune responsiveness
    • Bedognetti, D., Hendrickx, W., Ceccarelli, M., Miller, L.D., Seliger, B., Disentangling the relationship between tumor genetic programs and immune responsiveness. Curr. Opin. Immunol. 39 (2016), 150–158.
    • (2016) Curr. Opin. Immunol. , vol.39 , pp. 150-158
    • Bedognetti, D.1    Hendrickx, W.2    Ceccarelli, M.3    Miller, L.D.4    Seliger, B.5
  • 11
    • 77549083441 scopus 로고    scopus 로고
    • Transforming growth factor beta (TGF-beta) and inflammation in cancer
    • Bierie, B., Moses, H.L., Transforming growth factor beta (TGF-beta) and inflammation in cancer. Cytokine Growth Factor Rev. 21 (2010), 49–59.
    • (2010) Cytokine Growth Factor Rev. , vol.21 , pp. 49-59
    • Bierie, B.1    Moses, H.L.2
  • 15
    • 84899836282 scopus 로고    scopus 로고
    • Neo-antigens predicted by tumor genome meta-analysis correlate with increased patient survival
    • Brown, S.D., Warren, R.L., Gibb, E.A., Martin, S.D., Spinelli, J.J., Nelson, B.H., Holt, R.A., Neo-antigens predicted by tumor genome meta-analysis correlate with increased patient survival. Genome Res. 24 (2014), 743–750.
    • (2014) Genome Res. , vol.24 , pp. 743-750
    • Brown, S.D.1    Warren, R.L.2    Gibb, E.A.3    Martin, S.D.4    Spinelli, J.J.5    Nelson, B.H.6    Holt, R.A.7
  • 16
    • 84948737706 scopus 로고    scopus 로고
    • Profiling tissue-resident T cell repertoires by RNA sequencing
    • Brown, S.D., Raeburn, L.A., Holt, R.A., Profiling tissue-resident T cell repertoires by RNA sequencing. Genome Med., 7, 2015, 125.
    • (2015) Genome Med. , vol.7 , pp. 125
    • Brown, S.D.1    Raeburn, L.A.2    Holt, R.A.3
  • 21
    • 85009106590 scopus 로고    scopus 로고
    • Pan-cancer immunogenomic analyses reveal genotype-immunophenotype pelationships and predictors of response to checkpoint blockade
    • Charoentong, P., Finotello, F., Angelova, M., Mayer, C., Efremova, M., Rieder, D., Hackl, H., Trajanoski, Z., Pan-cancer immunogenomic analyses reveal genotype-immunophenotype pelationships and predictors of response to checkpoint blockade. Cell Rep. 18 (2017), 248–262.
    • (2017) Cell Rep. , vol.18 , pp. 248-262
    • Charoentong, P.1    Finotello, F.2    Angelova, M.3    Mayer, C.4    Efremova, M.5    Rieder, D.6    Hackl, H.7    Trajanoski, Z.8
  • 22
    • 84915815121 scopus 로고    scopus 로고
    • Identification of causal genetic drivers of human disease through systems-level analysis of regulatory networks
    • Chen, J.C., Alvarez, M.J., Talos, F., Dhruv, H., Rieckhof, G.E., Iyer, A., Diefes, K.L., Aldape, K., Berens, M., Shen, M.M., et al. Identification of causal genetic drivers of human disease through systems-level analysis of regulatory networks. Cell 159 (2014), 402–414.
    • (2014) Cell , vol.159 , pp. 402-414
    • Chen, J.C.1    Alvarez, M.J.2    Talos, F.3    Dhruv, H.4    Rieckhof, G.E.5    Iyer, A.6    Diefes, K.L.7    Aldape, K.8    Berens, M.9    Shen, M.M.10
  • 23
    • 84874763866 scopus 로고    scopus 로고
    • Biomolecular events in cancer revealed by attractor metagenes
    • Cheng, W.Y., Ou Yang, T.H., Anastassiou, D., Biomolecular events in cancer revealed by attractor metagenes. PLoS Comput. Biol., 9, 2013, e1002920.
    • (2013) PLoS Comput. Biol. , vol.9 , pp. e1002920
    • Cheng, W.Y.1    Ou Yang, T.H.2    Anastassiou, D.3
  • 24
    • 84877737214 scopus 로고    scopus 로고
    • Development of a prognostic model for breast cancer survival in an open challenge environment
    • Cheng, W.Y., Ou Yang, T.H., Anastassiou, D., Development of a prognostic model for breast cancer survival in an open challenge environment. Sci. Transl. Med., 5, 2013, 181ra150.
    • (2013) Sci. Transl. Med. , vol.5 , pp. 181ra150
    • Cheng, W.Y.1    Ou Yang, T.H.2    Anastassiou, D.3
  • 31
    • 77950537175 scopus 로고    scopus 로고
    • Regularization paths for generalized linear models via coordinate descent
    • Friedman, J., Hastie, T., Tibshirani, R., Regularization paths for generalized linear models via coordinate descent. J. Stat. Softw. 33 (2010), 1–22.
    • (2010) J. Stat. Softw. , vol.33 , pp. 1-22
    • Friedman, J.1    Hastie, T.2    Tibshirani, R.3
  • 32
    • 84880704621 scopus 로고    scopus 로고
    • The continuum of cancer immunosurveillance: prognostic, predictive, and mechanistic signatures
    • Galon, J., Angell, H.K., Bedognetti, D., Marincola, F.M., The continuum of cancer immunosurveillance: prognostic, predictive, and mechanistic signatures. Immunity 39 (2013), 11–26.
    • (2013) Immunity , vol.39 , pp. 11-26
    • Galon, J.1    Angell, H.K.2    Bedognetti, D.3    Marincola, F.M.4
  • 34
    • 84958925144 scopus 로고    scopus 로고
    • Compendium of immune signatures identifies conserved and species-specific biology in response to inflammation
    • Godec, J., Tan, Y., Liberzon, A., Tamayo, P., Bhattacharya, S., Butte, A.J., Mesirov, J.P., Haining, W.N., Compendium of immune signatures identifies conserved and species-specific biology in response to inflammation. Immunity 44 (2016), 194–206.
    • (2016) Immunity , vol.44 , pp. 194-206
    • Godec, J.1    Tan, Y.2    Liberzon, A.3    Tamayo, P.4    Bhattacharya, S.5    Butte, A.J.6    Mesirov, J.P.7    Haining, W.N.8
  • 36
    • 79952284127 scopus 로고    scopus 로고
    • Hallmarks of cancer: the next generation
    • Hanahan, D., Weinberg, R.A., Hallmarks of cancer: the next generation. Cell 144 (2011), 646–674.
    • (2011) Cell , vol.144 , pp. 646-674
    • Hanahan, D.1    Weinberg, R.A.2
  • 37
    • 84872202078 scopus 로고    scopus 로고
    • GSVA: gene set variation analysis for microarray and RNA-seq data
    • Hänzelmann, S., Castelo, R., Guinney, J., GSVA: gene set variation analysis for microarray and RNA-seq data. BMC Bioinformatics, 14, 2013, 7.
    • (2013) BMC Bioinformatics , vol.14 , pp. 7
    • Hänzelmann, S.1    Castelo, R.2    Guinney, J.3
  • 40
    • 27544491443 scopus 로고    scopus 로고
    • A CLUE for CLUster ensembles
    • Hornik, K., A CLUE for CLUster ensembles. J. Stat. Softw. 14 (2005), 1–25.
    • (2005) J. Stat. Softw. , vol.14 , pp. 1-25
    • Hornik, K.1
  • 45
    • 34748821761 scopus 로고    scopus 로고
    • The role of site accessibility in microRNA target recognition
    • Kertesz, M., Iovino, N., Unnerstall, U., Gaul, U., Segal, E., The role of site accessibility in microRNA target recognition. Nat. Genet. 39 (2007), 1278–1284.
    • (2007) Nat. Genet. , vol.39 , pp. 1278-1284
    • Kertesz, M.1    Iovino, N.2    Unnerstall, U.3    Gaul, U.4    Segal, E.5
  • 46
    • 84876009220 scopus 로고    scopus 로고
    • Interpretation of genomic variants using a unified biological network approach
    • Khurana, E., Fu, Y., Chen, J., Gerstein, M., Interpretation of genomic variants using a unified biological network approach. PLoS Comput. Biol., 9, 2013, e1002886.
    • (2013) PLoS Comput. Biol. , vol.9 , pp. e1002886
    • Khurana, E.1    Fu, Y.2    Chen, J.3    Gerstein, M.4
  • 48
    • 41449085571 scopus 로고    scopus 로고
    • Eigengene networks for studying the relationships between co-expression modules
    • Langfelder, P., Horvath, S., Eigengene networks for studying the relationships between co-expression modules. BMC Syst. Biol., 1, 2007, 54.
    • (2007) BMC Syst. Biol. , vol.1 , pp. 54
    • Langfelder, P.1    Horvath, S.2
  • 49
    • 60549111634 scopus 로고    scopus 로고
    • WGCNA: an R package for weighted correlation network analysis
    • Langfelder, P., Horvath, S., WGCNA: an R package for weighted correlation network analysis. BMC Bioinformatics, 9, 2008, 559.
    • (2008) BMC Bioinformatics , vol.9 , pp. 559
    • Langfelder, P.1    Horvath, S.2
  • 51
    • 84946057476 scopus 로고    scopus 로고
    • The promise of gammadelta T cells and the gammadelta T cell receptor for cancer immunotherapy
    • Legut, M., Cole, D.K., Sewell, A.K., The promise of gammadelta T cells and the gammadelta T cell receptor for cancer immunotherapy. Cell. Mol. Immunol. 12 (2015), 656–668.
    • (2015) Cell. Mol. Immunol. , vol.12 , pp. 656-668
    • Legut, M.1    Cole, D.K.2    Sewell, A.K.3
  • 52
    • 79961123152 scopus 로고    scopus 로고
    • RSEM: accurate transcript quantification from RNA-Seq data with or without a reference genome
    • Li, B., Dewey, C.N., RSEM: accurate transcript quantification from RNA-Seq data with or without a reference genome. BMC Bioinformatics, 12, 2011, 323.
    • (2011) BMC Bioinformatics , vol.12 , pp. 323
    • Li, B.1    Dewey, C.N.2
  • 53
    • 67649884743 scopus 로고    scopus 로고
    • Fast and accurate short read alignment with Burrows-Wheeler transform
    • Li, H., Durbin, R., Fast and accurate short read alignment with Burrows-Wheeler transform. Bioinformatics 25 (2009), 1754–1760.
    • (2009) Bioinformatics , vol.25 , pp. 1754-1760
    • Li, H.1    Durbin, R.2
  • 54
    • 84862260334 scopus 로고    scopus 로고
    • Evaluating the effective numbers of independent tests and significant p-value thresholds in commercial genotyping arrays and public imputation reference datasets
    • Li, M.X., Yeung, J.M., Cherny, S.S., Sham, P.C., Evaluating the effective numbers of independent tests and significant p-value thresholds in commercial genotyping arrays and public imputation reference datasets. Hum. Genet. 131 (2012), 747–756.
    • (2012) Hum. Genet. , vol.131 , pp. 747-756
    • Li, M.X.1    Yeung, J.M.2    Cherny, S.S.3    Sham, P.C.4
  • 56
    • 84928774817 scopus 로고    scopus 로고
    • microRNAs function in CD8+T cell biology
    • Liang, Y., Pan, H.F., Ye, D.Q., microRNAs function in CD8+T cell biology. J. Leukoc. Biol. 97 (2015), 487–497.
    • (2015) J. Leukoc. Biol. , vol.97 , pp. 487-497
    • Liang, Y.1    Pan, H.F.2    Ye, D.Q.3
  • 58
    • 26644452073 scopus 로고    scopus 로고
    • Macrophage polarization comes of age
    • Mantovani, A., Sica, A., Locati, M., Macrophage polarization comes of age. Immunity 23 (2005), 344–346.
    • (2005) Immunity , vol.23 , pp. 344-346
    • Mantovani, A.1    Sica, A.2    Locati, M.3
  • 61
    • 50849087987 scopus 로고    scopus 로고
    • Mastermind-like transcriptional co-activators: emerging roles in regulating cross talk among multiple signaling pathways
    • McElhinny, A.S., Li, J.L., Wu, L., Mastermind-like transcriptional co-activators: emerging roles in regulating cross talk among multiple signaling pathways. Oncogene 27 (2008), 5138–5147.
    • (2008) Oncogene , vol.27 , pp. 5138-5147
    • McElhinny, A.S.1    Li, J.L.2    Wu, L.3
  • 64
    • 79955166265 scopus 로고    scopus 로고
    • GISTIC2.0 facilitates sensitive and confident localization of the targets of focal somatic copy-number alteration in human cancers
    • Mermel, C.H., Schumacher, S.E., Hill, B., Meyerson, M.L., Beroukhim, R., Getz, G., GISTIC2.0 facilitates sensitive and confident localization of the targets of focal somatic copy-number alteration in human cancers. Genome Biol., 12, 2011, R41.
    • (2011) Genome Biol. , vol.12 , pp. R41
    • Mermel, C.H.1    Schumacher, S.E.2    Hill, B.3    Meyerson, M.L.4    Beroukhim, R.5    Getz, G.6
  • 69
    • 84962905590 scopus 로고    scopus 로고
    • NetMHCpan-3.0; improved prediction of binding to MHC class I molecules integrating information from multiple receptor and peptide length datasets
    • Nielsen, M., Andreatta, M., NetMHCpan-3.0; improved prediction of binding to MHC class I molecules integrating information from multiple receptor and peptide length datasets. Genome Med., 8, 2016, 33.
    • (2016) Genome Med. , vol.8 , pp. 33
    • Nielsen, M.1    Andreatta, M.2
  • 70
    • 84884403849 scopus 로고    scopus 로고
    • Discovering causal pathways linking genomic events to transcriptional states using Tied Diffusion Through Interacting Events (TieDIE)
    • Paull, E.O., Carlin, D.E., Niepel, M., Sorger, P.K., Haussler, D., Stuart, J.M., Discovering causal pathways linking genomic events to transcriptional states using Tied Diffusion Through Interacting Events (TieDIE). Bioinformatics 29 (2013), 2757–2764.
    • (2013) Bioinformatics , vol.29 , pp. 2757-2764
    • Paull, E.O.1    Carlin, D.E.2    Niepel, M.3    Sorger, P.K.4    Haussler, D.5    Stuart, J.M.6
  • 71
    • 43749099620 scopus 로고    scopus 로고
    • Using Weeder for the discovery of conserved transcription factor binding sites
    • Unit 2 11
    • Pavesi, G., Pesole, G., Using Weeder for the discovery of conserved transcription factor binding sites. Curr Protoc Bioinformatics, Chapter 2, 2006 Unit 2 11.
    • (2006) Curr Protoc Bioinformatics , vol.Chapter 2
    • Pavesi, G.1    Pesole, G.2
  • 72
    • 3242770671 scopus 로고    scopus 로고
    • Overall C as a measure of discrimination in survival analysis: model specific population value and confidence interval estimation
    • Pencina, M.J., D'Agostino, R.B., Overall C as a measure of discrimination in survival analysis: model specific population value and confidence interval estimation. Stat. Med. 23 (2004), 2109–2123.
    • (2004) Stat. Med. , vol.23 , pp. 2109-2123
    • Pencina, M.J.1    D'Agostino, R.B.2
  • 74
    • 84868326494 scopus 로고    scopus 로고
    • A miRNA-regulatory network explains how dysregulated miRNAs perturb oncogenic processes across diverse cancers
    • Plaisier, C.L., Pan, M., Baliga, N.S., A miRNA-regulatory network explains how dysregulated miRNAs perturb oncogenic processes across diverse cancers. Genome Res. 22 (2012), 2302–2314.
    • (2012) Genome Res. , vol.22 , pp. 2302-2314
    • Plaisier, C.L.1    Pan, M.2    Baliga, N.S.3
  • 76
    • 85016134484 scopus 로고    scopus 로고
    • Mutation drivers of immunological responses to cancer
    • Porta-Pardo, E., Godzik, A., Mutation drivers of immunological responses to cancer. Cancer Immunol. Res. 4 (2016), 789–798.
    • (2016) Cancer Immunol. Res. , vol.4 , pp. 789-798
    • Porta-Pardo, E.1    Godzik, A.2
  • 77
    • 33746512512 scopus 로고    scopus 로고
    • Principal components analysis corrects for stratification in genome-wide association studies
    • Price, A.L., Patterson, N.J., Plenge, R.M., Weinblatt, M.E., Shadick, N.A., Reich, D., Principal components analysis corrects for stratification in genome-wide association studies. Nat. Genet. 38 (2006), 904–909.
    • (2006) Nat. Genet. , vol.38 , pp. 904-909
    • Price, A.L.1    Patterson, N.J.2    Plenge, R.M.3    Weinblatt, M.E.4    Shadick, N.A.5    Reich, D.6
  • 78
    • 84954566376 scopus 로고    scopus 로고
    • The correlations between IL-17 vs. Th17 cells and cancer patient survival: a systematic review
    • Punt, S., Langenhoff, J.M., Putter, H., Fleuren, G.J., Gorter, A., Jordanova, E.S., The correlations between IL-17 vs. Th17 cells and cancer patient survival: a systematic review. OncoImmunology, 4, 2015, e984547.
    • (2015) OncoImmunology , vol.4 , pp. e984547
    • Punt, S.1    Langenhoff, J.M.2    Putter, H.3    Fleuren, G.J.4    Gorter, A.5    Jordanova, E.S.6
  • 80
    • 84939604164 scopus 로고    scopus 로고
    • cMonkey2: Automated, systematic, integrated detection of co-regulated gene modules for any organism
    • Reiss, D.J., Plaisier, C.L., Wu, W.J., Baliga, N.S., cMonkey2: Automated, systematic, integrated detection of co-regulated gene modules for any organism. Nucleic Acids Res., 43, 2015, e87.
    • (2015) Nucleic Acids Res. , vol.43 , pp. e87
    • Reiss, D.J.1    Plaisier, C.L.2    Wu, W.J.3    Baliga, N.S.4
  • 81
    • 84920962202 scopus 로고    scopus 로고
    • Molecular and genetic properties of tumors associated with local immune cytolytic activity
    • Rooney, M.S., Shukla, S.A., Wu, C.J., Getz, G., Hacohen, N., Molecular and genetic properties of tumors associated with local immune cytolytic activity. Cell 160 (2015), 48–61.
    • (2015) Cell , vol.160 , pp. 48-61
    • Rooney, M.S.1    Shukla, S.A.2    Wu, C.J.3    Getz, G.4    Hacohen, N.5
  • 82
    • 85044586207 scopus 로고    scopus 로고
    • Spatial organization and molecular correlation of tumor infiltrating lymphocytes using deep learning on pathology images
    • Saltz, J.H., Gupta, R., Hou, L., Kurc, T., Singh, P., Nguyen, V., Samaras, D., Shroyer, K.R., Zhao, T., Batiste, R., et al. Spatial organization and molecular correlation of tumor infiltrating lymphocytes using deep learning on pathology images. Cell Rep., 23, 2018, 10.1016/j.celrep.2018.03.086.
    • (2018) Cell Rep. , vol.23
    • Saltz, J.H.1    Gupta, R.2    Hou, L.3    Kurc, T.4    Singh, P.5    Nguyen, V.6    Samaras, D.7    Shroyer, K.R.8    Zhao, T.9    Batiste, R.10
  • 84
    • 85010390664 scopus 로고    scopus 로고
    • mclust 5: clustering, classification and density estimation using Gaussian finite mixture models
    • Scrucca, L., Fop, M., Murphy, T.B., Raftery, A.E., mclust 5: clustering, classification and density estimation using Gaussian finite mixture models. R J. 8 (2016), 289–317.
    • (2016) R J. , vol.8 , pp. 289-317
    • Scrucca, L.1    Fop, M.2    Murphy, T.B.3    Raftery, A.E.4
  • 85
    • 85002930854 scopus 로고    scopus 로고
    • Tumor immune microenvironment characterization in clear cell renal cell carcinoma identifies prognostic and immunotherapeutically relevant messenger RNA signatures
    • Senbabaoglu, Y., Gejman, R.S., Winer, A.G., Liu, M., Van Allen, E.M., de Velasco, G., Miao, D., Ostrovnaya, I., Drill, E., Luna, A., et al. Tumor immune microenvironment characterization in clear cell renal cell carcinoma identifies prognostic and immunotherapeutically relevant messenger RNA signatures. Genome Biol., 17, 2016, 231.
    • (2016) Genome Biol. , vol.17 , pp. 231
    • Senbabaoglu, Y.1    Gejman, R.S.2    Winer, A.G.3    Liu, M.4    Van Allen, E.M.5    de Velasco, G.6    Miao, D.7    Ostrovnaya, I.8    Drill, E.9    Luna, A.10
  • 88
    • 84876548372 scopus 로고    scopus 로고
    • Fast and accurate read mapping with approximate seeds and multiple backtracking
    • Siragusa, E., Weese, D., Reinert, K., Fast and accurate read mapping with approximate seeds and multiple backtracking. Nucleic Acids Res., 41, 2013, e78.
    • (2013) Nucleic Acids Res. , vol.41 , pp. e78
    • Siragusa, E.1    Weese, D.2    Reinert, K.3
  • 91
    • 85039543315 scopus 로고    scopus 로고
    • Comprehensive analysis of the clinical immuno-oncology landscape
    • Tang, J., Shalabi, A., Hubbard-Lucey, V.M., Comprehensive analysis of the clinical immuno-oncology landscape. Ann. Oncol. 29 (2018), 84–91.
    • (2018) Ann. Oncol. , vol.29 , pp. 84-91
    • Tang, J.1    Shalabi, A.2    Hubbard-Lucey, V.M.3
  • 92
    • 85017402367 scopus 로고    scopus 로고
    • A cloud-based workflow to quantify transcript-expression levels in public cancer compendia
    • Tatlow, P.J., Piccolo, S.R., A cloud-based workflow to quantify transcript-expression levels in public cancer compendia. Sci. Rep., 6, 2016, 39259.
    • (2016) Sci. Rep. , vol.6 , pp. 39259
    • Tatlow, P.J.1    Piccolo, S.R.2
  • 94
    • 78049396399 scopus 로고    scopus 로고
    • Improved prognostic classification of breast cancer defined by antagonistic activation patterns of immune response pathway modules
    • Teschendorff, A.E., Gomez, S., Arenas, A., El-Ashry, D., Schmidt, M., Gehrmann, M., Caldas, C., Improved prognostic classification of breast cancer defined by antagonistic activation patterns of immune response pathway modules. BMC Cancer, 10, 2010, 604.
    • (2010) BMC Cancer , vol.10 , pp. 604
    • Teschendorff, A.E.1    Gomez, S.2    Arenas, A.3    El-Ashry, D.4    Schmidt, M.5    Gehrmann, M.6    Caldas, C.7
  • 95
    • 84935009372 scopus 로고    scopus 로고
    • Genomic classification of cutaneous melanoma
    • The Cancer Genome Atlas Network. Genomic classification of cutaneous melanoma. Cell 161 (2015), 1681–1696.
    • (2015) Cell , vol.161 , pp. 1681-1696
  • 96
    • 79959838081 scopus 로고    scopus 로고
    • Integrated genomic analyses of ovarian carcinoma
    • The Cancer Genome Atlas Research Network. Integrated genomic analyses of ovarian carcinoma. Nature 474 (2011), 609–615.
    • (2011) Nature , vol.474 , pp. 609-615
  • 97
    • 26644472430 scopus 로고    scopus 로고
    • Cluster validation by prediction strength
    • Tibshirani, R., Walther, G., Cluster validation by prediction strength. J. Comput. Graph. Stat. 14 (2005), 511–528.
    • (2005) J. Comput. Graph. Stat. , vol.14 , pp. 511-528
    • Tibshirani, R.1    Walther, G.2
  • 99
    • 84876529769 scopus 로고    scopus 로고
    • TFClass: an expandable hierarchical classification of human transcription factors
    • Wingender, E., Schoeps, T., Donitz, J., TFClass: an expandable hierarchical classification of human transcription factors. Nucleic Acids Res. 41 (2013), D165–D170.
    • (2013) Nucleic Acids Res. , vol.41 , pp. D165-D170
    • Wingender, E.1    Schoeps, T.2    Donitz, J.3
  • 100
    • 84895739525 scopus 로고    scopus 로고
    • Gene co-expression modules as clinically relevant hallmarks of breast cancer diversity
    • Wolf, D.M., Lenburg, M.E., Yau, C., Boudreau, A., van ’t Veer, L.J., Gene co-expression modules as clinically relevant hallmarks of breast cancer diversity. PLoS ONE, 9, 2014, e88309.
    • (2014) PLoS ONE , vol.9 , pp. e88309
    • Wolf, D.M.1    Lenburg, M.E.2    Yau, C.3    Boudreau, A.4    van ’t Veer, L.J.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.