| 1 | S. Hanash, "Integrated global profiling of cancer", Nat Rev Cancer, Vol. 4, pp. 638-644, 2004. DOI |
| 2 | K. Tsuda, H. Shin, B. Scholkopf, "Fast protein classification with multiple networks", Bioinformatics, Vol. 21, No. Suppl 2, pp. 59-65, 2005. |
| 3 | S. Deneberg, M. Grovdal, M. Karimi, M. Jansson, H. Nahi, A. Corbacioglu, V. Gaidzik, K. Dohner, C. Paul, T. J. Ekstrom, E. Hellstrom-Lindberg, S. Lehmann, "Gene-specific and global methylation patterns predict outcome in patients with acute myeloid leukemia", Leukemia, Vol. 24, pp. 932-941, 2010. DOI |
| 4 | V. S. Nair, L. S. Maeda, J. P. Ioannidis, "Clinical outcome prediction by microRNAs in human cancer: a systematic review", J Natl Cancer Inst, Vol. 104, pp. 528-540, 2012. DOI |
| 5 | R. L. ten Berge, C. J. Meijer, D. F. Dukers, J. A. Kummer, B. A. Bladergroen, W. Vos, C. E. Hack, G. J. Ossenkoppele, J. J. Oudejans, "Expression levels of apoptosis-related proteins predict clinical outcome in anaplastic large cell lymphoma", Blood, Vol. 99, pp. 4540-4546, 2002. DOI |
| 6 | Y. Zhang, J. W. Martens, J. W. Yu, J. Jiang, A. M. Sieuwerts, M. Smid, J. G. Klijn, Y. Wang, J. A. Foekens, "Copy number alterations that predict metastatic capability of human breast cancer", Cancer Res, Vol. 69, pp. 3795-3801, 2009. DOI |
| 7 | R. Shen, A. B. Olshen, M. Ladanyi, "Integrative clustering of multiple genomic data types using a joint latent variable model with application to breast and lung cancer subtype analysis", Bioinformatics, Vol. 25, pp. 2906-2912, 2009. DOI |
| 8 | E. F. Lock, D. B. Dunson, "Bayesian consensus clustering," Bioinformatics, Vol. 29, No. 20, pp. 2610-2616,2013. DOI |
| 9 | H. Lee, P. Flaherty, H. P. Ji, "Systematic genomic identification of colorectal cancer genes delineating advanced from early clinical stage and metastasis", BMC Med Genomics, Vol. 6, No. 54, 2013. |
| 10 | W. Wang, V. Baladandayuthapani, J. S. Morris, B. M. Broom, G. Manyam, K. A. Do, "iBAG: integrative Bayesian analysis of high-dimensional multiplatform genomics data", Bioinformatics, Vol. 29, No. 2, pp. 149-159, 2013. DOI |
| 11 | R. Louhimo, S. Hautaniemi, "CNAmet: an R package for integrating copy number, methylation and expression data", Bioinformatics, Vol. 27, No. 6, pp. 887-888, 2011. DOI |
| 12 | E. Huang, S. H. Cheng, H. Dressman, J. Pittman, M. H. Tsou, C. F. Horng, A. Bild, E. S. Iversen, M. Liao, C. M. Chen, M. M. West, J. R. Nevins, A. T. Huang, "Gene expression predictors of breast cancer outcomes", Lancet, Vol. 361, pp. 1590-1596, 2003. DOI ScienceOn |
| 13 | J. G. Joung, D. Kim, K. H. Kim, J. H. Kim, "Extracting coordinated patterns of DNA methylation and gene expression in ovarian cancer", J Am Med Inform Assoc., Vol. 20, No. 4, pp. 637-642, 2013. DOI |
| 14 | D. Kim, H. Shin, Y. S. Song, J. H. Kim, "Synergistic effect of different levels of genomic data for cancer clinical outcome prediction", J Biomed Inform, Vol. 45, pp. 1191-1198, 2012. DOI |
 |
Korea Institute of Science and Technology Information
Gwahangno, Yuseong-gu, Daejeon, 305-806, Korea TEL : +82-42-869-1752
Copyright (c) 2009 KISTI. All Rights Reserved. For more information mail to
webmaster
