Page 285 - Artificial Intelligence in the Age of Neural Networks and Brain Computing
P. 285
278 CHAPTER 13 Multiview Learning in Biomedical Applications
REFERENCES
[1] C.C. Aggarwal, A. Hinneburg, D.A. Keim, “On the surprising behavior of distance
metrics in high dimensional space.”, in: International Conference on Database
Theory, Springer, 2001, pp. 420e434.
[2] J. Luo, M. Schumacher, A. Scherer, D. Sanoudou, D. Megherbi, T. Davison, T. Shi,
et al., A comparison of batch effect removal methods for enhancement of prediction
performance using Maqc-Ii microarray gene expression data, The Pharmacogenomics
Journal 10 (4) (2010) 278e291. Nature Publishing Group.
[3] Choi, J. Kyoon, U. Yu, S. Kim, O.J. Yoo, Combining multiple microarray studies and
modeling interstudy variation, Bioinformatics 19 (Suppl. 1) (2003) i84ei90. Oxford
Univ Press.
[4] D.R. Rhodes, J. Yu, K. Shanker, N. Deshpande, R. Varambally, D. Ghosh, T. Barrette,
A. Pandey, A.M. Chinnaiyan, Large-scale meta-analysis of cancer microarray data
identifies common transcriptional profiles of neoplastic transformation and
progression, Proceedings of the National Academy of Sciences of the United States
of America 101 (25) (2004) 9309e9314. National Acad Sciences.
[5] S. Saria, A. Goldenberg, Subtyping: what it is and its role in precision medicine, IEEE
Intelligent Systems 30 (4) (2015) 70e75. IEEE.
[6] L. Hood, S.H. Friend, Predictive, personalized, preventive, participatory (P4) cancer
medicine, Nature Reviews Clinical Oncology 8 (3) (2011) 184e187. Nature Publishing
Group.
[7] R. Mirnezami, J. Nicholson, A. Darzi, Preparing for precision medicine, New England
Journal of Medicine 366 (6) (2012) 489e491. Mass Medical Soc.
[8] Jean-Philippe Brunet, P. Tamayo, T.R. Golub, J.P. Mesirov, Metagenes and molecular
pattern discovery using matrix factorization, Proceedings of the National Academy of
Sciences 101 (12) (2004) 4164e4169. National Acad Sciences.
[9] C.M. Perou, T. Sørlie, M.B. Eisen, M. van de Rijn, S.S. Jeffrey, C.A. Rees, J.R. Pollack,
et al., Molecular portraits of human breast tumours, Nature 406 (6797) (2000) 747e752.
Nature Publishing Group.
[10] K. Vang Nielsen, B. Ejlertsen, S. Møller, J.T. Jørgensen, A. Knoop, H. Knudsen,
H.T. Mouridsen, The value of Top2a gene copy number variation as a biomarker in
breast cancer: update of Dbcg trial 89D, Acta Oncologica 47 (4) (2008) 725e734.
Informa UK Ltd UK.
[11] R. Higdon, R.K. Earl, L. Stanberry, C.M. Hudac, E. Montague, E. Stewart, I. Janko,
et al., The promise of multi-omics and clinical data integration to identify and target
personalized healthcare approaches in autism spectrum disorders, Omics: A Journal
of Integrative Biology 19 (4) (2015) 197e208. Mary Ann Liebert, Inc. 140 Huguenot
Street, 3rd Floor New Rochelle, NY 10801 USA.
[12] C.R. Planey, O. Gevaert, CoINcIDE: a framework for discovery of patient subtypes
across multiple datasets, Genome Medicine 8 (1) (2016) 1. BioMed Central.
[13] E. Taskesen, S.M.H. Huisman, A. Mahfouz, J.H. Krijthe, J. de Ridder, A. van de Stolpe,
E. van den Akker, W. Verheagh, M.J.T. Reinders, Pan-cancer subtyping in a 2D-map
shows substructures that are driven by specific combinations of molecular
characteristics, Scientific Reports 6 (2016). Nature Publishing Group.
[14] G. Liu, C. Dong, L. Liu, Integrated multiple ‘-Omics’ data reveal subtypes of hepato-
cellular carcinoma, PLoS One 11 (11) (2016) e0165457. Public Library of Science.