Graphical Displays for Biomarker Data
作者： Manuela Zucknick , Thomas Hielscher , Martin Sill , Axel Benner
DOI: 10.1007/978-1-4614-5329-1_8
关键词:
摘要: Analysis of high-dimensional biomarker data is in general exploratory nature and aims to discover or dissect subgroups patients sharing a specific pattern measurements. One major challenge extract the relevant markers from extremely large pool measured markers. Specific techniques such as grouping ordering dimension reduction allow aggregate huge amounts into single meaningful graphics. These graphics can guide direction exploration during analysis. We present graphical tools for unsupervised supervised objectives based on gene expression multiple myeloma which are part MAQC-II project.
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PHIPPS ARABIE, LAWRENCE J. HUBERT, AN OVERVIEW OF COMBINATORIAL DATA ANALYSIS WORLD SCIENTIFIC. pp. 5- 63 ,(1996) , 10.1142/9789812832153_0002
Biomarkers and surrogate endpoints: Preferred definitions and conceptual framework* Clinical Pharmacology & Therapeutics. ,vol. 69, pp. 89- 95 ,(2001) , 10.1067/MCP.2001.113989
Robert Gentleman, Vincent J Carey, Wolfgang Huber, Rafael A Irizarry, Sandrine Dudoit, Bioinformatics and Computational Biology Solutions Using R and Bioconductor ,(2006)
G. K. Smyth, limma: Linear Models for Microarray Data Springer, New York, NY. pp. 397- 420 ,(2005) , 10.1007/0-387-29362-0_23
Stefano Monti, Pablo Tamayo, Jill Mesirov, Todd Golub, Consensus Clustering: A Resampling-Based Method for Class Discovery and Visualization of Gene Expression Microarray Data Machine Learning. ,vol. 52, pp. 91- 118 ,(2003) , 10.1023/A:1023949509487
N. Meinshausen, Hierarchical testing of variable importance Biometrika. ,vol. 95, pp. 265- 278 ,(2008) , 10.1093/BIOMET/ASN007
Peter J. Rousseeuw, Silhouettes: a graphical aid to the interpretation and validation of cluster analysis Journal of Computational and Applied Mathematics. ,vol. 20, pp. 53- 65 ,(1987) , 10.1016/0377-0427(87)90125-7
Leming Shi, Gregory Campbell, Wendell D Jones, Fabien Campagne, Zhining Wen, Stephen J Walker, Zhenqiang Su, Tzu-Ming Chu, Federico M Goodsaid, Lajos Pusztai, JD Shaughnessy Jr, Andr? Oberthuer, Russell S Thomas, Richard S Paules, Mark Fielden, Bart Barlogie, Weijie Chen, Pan Du, Matthias Fischer, Cesare Furlanello, Brandon D Gallas, Xijin Ge, Dalila B Megherbi, W Fraser Symmans, May D Wang, John Zhang, Hans Bitter, Benedikt Brors, Pierre R Bushel, Max Bylesjo, Minjun Chen, Jie Cheng, J Chou, TS Davison, M Delorenzi, Y Deng, V Devanarayan, DJ Dix, J Dopazo, KC Dorff, F Elloumi, J Fan, S Fan, X Fan, H Fang, N Gonzaludo, KR Hess, H Hong, J Huan, RA Irizarry, R Judson, D Juraeva, S Lababidi, CG Lambert, L Li, Y Li, Z Li, SM Lin, G Liu, EK Lobenhofer, J Luo, W Luo, MN McCall, Y Nikolsky, GA Pennello, RG Perkins, R Philip, V Popovici, ND Price, F Qian, A Scherer, T Shi, W Shi, J Sung, D Thierry-Mieg, J Thierry-Mieg, V Thodima, J Trygg, L Vishnuvajjala, SJ Wang, J Wu, Y Wu, Q Xie, WA Yousef, L Zhang, X Zhang, S Zhong, Y Zhou, S Zhu, D Arasappan, W Bao, AB Lucas, F Berthold, RJ Brennan, A Buness, JG Catalano, C Chang, R Chen, Y Cheng, J Cui, W Czika, F Demichelis, X Deng, D Dosymbekov, R Eils, Y Feng, J Fostel, S Fulmer-Smentek, JC Fuscoe, L Gatto, W Ge, DR Goldstein, L Guo, DN Halbert, J Han, SC Harris, C Hatzis, D Herman, J Huang, RV Jensen, R Jiang, CD Johnson, G Jurman, Y Kahlert, SA Khuder, M Kohl, J Li, M Li, QZ Li, S Li, J Liu, Y Liu, Z Liu, L Meng, M Madera, F Martinez-Murillo, I Medina, J Meehan, K Miclaus, RA Moffitt, D Montaner, P Mukherjee, GJ Mulligan, P Neville, T Nikolskaya, B Ning, GP Page, J Parker, RM Parry, X Peng, The Microarray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive models Nature Biotechnology. ,vol. 28, pp. 827- 838 ,(2010) , 10.1038/NBT.1665
L J Hubert, G De Soete, P Arabie, Clustering And Classification ,(1996)
Anne I. Goldman, Eventcharts: Visualizing Survival and other Timed-Events Data The American Statistician. ,vol. 46, pp. 13- 18 ,(1992) , 10.1080/00031305.1992.10475838