Learning on Weighted Hypergraphs to Integrate Protein Interactions and Gene Expressions for Cancer Outcome Prediction
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TaeHyun Hwang | Jean-Pierre A. Kocher | Rui Kuang | Ze Tian | R. Kuang | J. Kocher | TaeHyun Hwang | Ze Tian | Rui Kuang | Jean-Pierre A. Kocher
[1] J. Foekens,et al. Gene-expression profiles to predict distant metastasis of lymph-node-negative primary breast cancer , 2005, The Lancet.
[2] T. Ideker,et al. Network-based classification of breast cancer metastasis , 2007, Molecular systems biology.
[3] D. Hanahan,et al. The Hallmarks of Cancer , 2000, Cell.
[4] Serge J. Belongie,et al. Higher order learning with graphs , 2006, ICML.
[5] Bernhard Schölkopf,et al. Learning with Hypergraphs: Clustering, Classification, and Embedding , 2006, NIPS.
[6] Yousef Saad,et al. Iterative methods for sparse linear systems , 2003 .
[7] Pietro Perona,et al. Beyond pairwise clustering , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[8] Hui Xiong,et al. Mining strong affinity association patterns in data sets with skewed support distribution , 2003, Third IEEE International Conference on Data Mining.
[9] Zhifu Sun,et al. Gene Expression Profiling on Lung Cancer Outcome Prediction: Present Clinical Value and Future Premise , 2006, Cancer Epidemiology Biomarkers & Prevention.
[10] M. Oti,et al. The modular nature of genetic diseases , 2006, Clinical genetics.
[11] Van,et al. A gene-expression signature as a predictor of survival in breast cancer. , 2002, The New England journal of medicine.
[12] M. DePamphilis,et al. HUMAN DISEASE , 1957, The Ulster Medical Journal.
[13] Hui Xiong,et al. Identification of Functional Modules in Protein Complexes via Hyperclique Pattern Discovery , 2004, Pacific Symposium on Biocomputing.
[14] Michael Gribskov,et al. Use of Receiver Operating Characteristic (ROC) Analysis to Evaluate Sequence Matching , 1996, Comput. Chem..
[15] Yudong D. He,et al. A Gene-Expression Signature as a Predictor of Survival in Breast Cancer , 2002 .
[16] M. J. van de Vijver,et al. Gene expression profiling in breast cancer: understanding the molecular basis of histologic grade to improve prognosis. , 2006, Journal of the National Cancer Institute.
[17] Emmanuel Barillot,et al. Classification of microarray data using gene networks , 2007, BMC Bioinformatics.
[18] W. Gerald,et al. Gene expression profiling predicts clinical outcome of prostate cancer. , 2004, The Journal of clinical investigation.
[19] A. Mendelsohn,et al. Protein Interaction Methods-Toward an Endgame , 1999, Science.
[20] A. Dupuy,et al. Critical review of published microarray studies for cancer outcome and guidelines on statistical analysis and reporting. , 2007, Journal of the National Cancer Institute.
[21] Yudong D. He,et al. Gene expression profiling predicts clinical outcome of breast cancer , 2002, Nature.
[22] Quanquan Gu,et al. Learning the Shared Subspace for Multi-task Clustering and Transductive Transfer Classification , 2009, 2009 Ninth IEEE International Conference on Data Mining.
[23] A. Barabasi,et al. The human disease network , 2007, Proceedings of the National Academy of Sciences.
[24] Koji Tsuda,et al. Propagating distributions on a hypergraph by dual information regularization , 2005, ICML.
[25] Baldomero Oliva,et al. Predicting cancer involvement of genes from heterogeneous data , 2008, BMC Bioinformatics.