Integrative Data Analysis of Multi-Platform Cancer Data with a Multimodal Deep Learning Approach
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Ting Chen | Zhizhong Li | Jianyang Zeng | Muxuan Liang | Jianyang Zeng | Ting Chen | Muxuan Liang | Zhizhong Li
[1] Geoffrey E. Hinton,et al. Restricted Boltzmann machines for collaborative filtering , 2007, ICML '07.
[2] Geoffrey E. Hinton. A Practical Guide to Training Restricted Boltzmann Machines , 2012, Neural Networks: Tricks of the Trade.
[3] P. Laird,et al. Discovery of multi-dimensional modules by integrative analysis of cancer genomic data , 2012, Nucleic acids research.
[4] Brad T. Sherman,et al. Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources , 2008, Nature Protocols.
[5] Jin-Wu Nam,et al. miR-29 miRNAs activate p53 by targeting p85α and CDC42 , 2009, Nature Structural &Molecular Biology.
[6] Underwood Jc,et al. Oestrogen receptors in human breast cancer: review of histopathological correlations and critique of histochemical methods. , 1983 .
[7] Juhan Nam,et al. Multimodal Deep Learning , 2011, ICML.
[8] Geoffrey E. Hinton,et al. Deep Boltzmann Machines , 2009, AISTATS.
[9] J. Eun,et al. MicroRNA-29c functions as a tumor suppressor by direct targeting oncogenic SIRT1 in hepatocellular carcinoma , 2014, Oncogene.
[10] Tint Lwin,et al. microRNA expression profile and identification of miR-29 as a prognostic marker and pathogenetic factor by targeting CDK6 in mantle cell lymphoma. , 2010, Blood.
[11] Tara N. Sainath,et al. Deep Belief Networks using discriminative features for phone recognition , 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[12] Van,et al. A gene-expression signature as a predictor of survival in breast cancer. , 2002, The New England journal of medicine.
[13] Tara N. Sainath,et al. FUNDAMENTAL TECHNOLOGIES IN MODERN SPEECH RECOGNITION Digital Object Identifier 10.1109/MSP.2012.2205597 , 2012 .
[14] Tijmen Tieleman,et al. Training restricted Boltzmann machines using approximations to the likelihood gradient , 2008, ICML '08.
[15] Miguel Á. Carreira-Perpiñán,et al. On Contrastive Divergence Learning , 2005, AISTATS.
[16] Yee Whye Teh,et al. A Fast Learning Algorithm for Deep Belief Nets , 2006, Neural Computation.
[17] Nicolas Le Roux,et al. Representational Power of Restricted Boltzmann Machines and Deep Belief Networks , 2008, Neural Computation.
[18] Geoffrey E. Hinton,et al. A New Learning Algorithm for Mean Field Boltzmann Machines , 2002, ICANN.
[19] Yudong D. He,et al. Gene expression profiling predicts clinical outcome of breast cancer , 2002, Nature.
[20] J. A. Hartigan,et al. A k-means clustering algorithm , 1979 .
[21] T. Barrette,et al. Meta-analysis of microarrays: interstudy validation of gene expression profiles reveals pathway dysregulation in prostate cancer. , 2002, Cancer research.
[22] D. Schadendorf,et al. Highly Recurrent TERT Promoter Mutations in Human Melanoma , 2022 .
[23] W. McGuire,et al. The use of steroïd hormone receptors in the treatment of human breast cancer: a review. , 1979, Bulletin du cancer.
[24] Adam B. Olshen,et al. Integrative clustering of multiple genomic data types using a joint latent variable model with application to breast and lung cancer subtype analysis , 2009, Bioinform..
[25] Nitish Srivastava,et al. Multimodal learning with deep Boltzmann machines , 2012, J. Mach. Learn. Res..
[26] Chris H. Q. Ding,et al. K-means clustering via principal component analysis , 2004, ICML.
[27] R. Dalla‐Favera,et al. Direct activation of TERT transcription by c-MYC , 1999, Nature Genetics.
[28] Osborne Ck,et al. The use of steroïd hormone receptors in the treatment of human breast cancer: a review. , 1979 .
[29] Yudong D. He,et al. A Gene-Expression Signature as a Predictor of Survival in Breast Cancer , 2002 .
[30] A. Glukhov,et al. Telomerase inhibitors as novel antitumor drugs , 2011, Applied Biochemistry and Microbiology.
[31] Brad T. Sherman,et al. Bioinformatics enrichment tools: paths toward the comprehensive functional analysis of large gene lists , 2008, Nucleic acids research.
[32] Yuhao Wang,et al. Predicting drug-target interactions using restricted Boltzmann machines , 2013, Bioinform..
[33] J C Underwood,et al. Oestrogen receptors in human breast cancer: review of histopathological correlations and critique of histochemical methods. , 1983, Diagnostic histopathology.