Kernel Classification Methods for Cancer Microarray Data
暂无分享,去创建一个
[1] Masashi Sugiyama,et al. Conic Programming for Multitask Learning , 2010, IEEE Transactions on Knowledge and Data Engineering.
[2] Masashi Sugiyama,et al. A Transfer Learning Approach and Selective Integration of Multiple Types of Assays for Biological Network Inference , 2010, Int. J. Knowl. Discov. Bioinform..
[3] Masashi Sugiyama,et al. Recent Advances and Trends in Large-Scale Kernel Methods , 2009, IEICE Trans. Inf. Syst..
[4] Jeffrey M. Rosen,et al. The Increasing Complexity of the Cancer Stem Cell Paradigm , 2009, Science.
[5] Masashi Sugiyama,et al. Robust Label Propagation on Multiple Networks , 2009, IEEE Transactions on Neural Networks.
[6] T. Ichisaka,et al. Induction of Pluripotent Stem Cells from Adult Human Fibroblasts by Defined Factors , 2007, Cell.
[7] Tsuyoshi Kato,et al. Classification of heterogeneous microarray data by maximum entropy kernel , 2007, BMC Bioinformatics.
[8] Alexander Zien,et al. Semi-Supervised Learning , 2006 .
[9] B. Nilsson,et al. Cross-platform classification in microarray-based leukemia diagnostics. , 2006, Haematologica.
[10] Roland Eils,et al. Cross-platform analysis of cancer microarray data improves gene expression based classification of phenotypes , 2005, BMC Bioinformatics.
[11] Huiqing Liu,et al. Use of extreme patient samples for outcome prediction from gene expression data , 2005, Bioinform..
[12] Sunil Singhal,et al. Gene expression signature predicts lymphatic metastasis in squamous cell carcinoma of the oral cavity , 2005, Oncogene.
[13] Dennis B. Troup,et al. NCBI GEO: mining millions of expression profiles—database and tools , 2004, Nucleic Acids Res..
[14] Sergio Contrino,et al. ArrayExpress—a public repository for microarray gene expression data at the EBI , 2004, Nucleic Acids Res..
[15] Patricia Soteropoulos,et al. Association between gene expression profile and tumor invasion in oral squamous cell carcinoma. , 2004, Cancer genetics and cytogenetics.
[16] Tatsuya Akutsu,et al. Protein homology detection using string alignment kernels , 2004, Bioinform..
[17] P. Brown,et al. Large-scale meta-analysis of cancer microarray data identifies common transcriptional profiles of neoplastic transformation and progression. , 2004, Proceedings of the National Academy of Sciences of the United States of America.
[18] William Stafford Noble,et al. Learning kernels from biological networks by maximizing entropy , 2004, ISMB/ECCB.
[19] T. Barrette,et al. ONCOMINE: a cancer microarray database and integrated data-mining platform. , 2004, Neoplasia.
[20] Yusuke Nakamura,et al. Prediction of chemosensitivity for patients with acute myeloid leukemia, according to expression levels of 28 genes selected by genome-wide complementary DNA microarray analysis. , 2002, Molecular cancer therapeutics.
[21] Bernhard Schölkopf,et al. A Kernel Approach for Learning from Almost Orthogonal Patterns , 2002, PKDD.
[22] Chih-Jen Lin,et al. Training v-Support Vector Regression: Theory and Algorithms , 2002, Neural Computation.
[23] Kiyoshi Asai,et al. Marginalized kernels for biological sequences , 2002, ISMB.
[24] Yudong D. He,et al. Gene expression profiling predicts clinical outcome of breast cancer , 2002, Nature.
[25] T. Poggio,et al. Multiclass cancer diagnosis using tumor gene expression signatures , 2001, Proceedings of the National Academy of Sciences of the United States of America.
[26] J. Mesirov,et al. Chemosensitivity prediction by transcriptional profiling , 2001, Proceedings of the National Academy of Sciences of the United States of America.
[27] Michael E. Tipping. Sparse Bayesian Learning and the Relevance Vector Machine , 2001, J. Mach. Learn. Res..
[28] Nello Cristianini,et al. Classification using String Kernels , 2000 .
[29] Bernhard Schölkopf,et al. New Support Vector Algorithms , 2000, Neural Computation.
[30] J. Mesirov,et al. Molecular classification of cancer: class discovery and class prediction by gene expression monitoring. , 1999, Science.
[31] Jorge Nocedal,et al. On the limited memory BFGS method for large scale optimization , 1989, Math. Program..
[32] C. Berg,et al. Harmonic Analysis on Semigroups , 1984 .