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References from An integrative deep learning framework for classifying molecular subtypes of breast cancer. Local targets link to admitted publications; unresolved targets remain external evidence.
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Imagenet classification with deep convolutional neural networks
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2014 · External reference
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2013 · External reference
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10.1162/089976602760128018 · External reference
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Stacked denoising autoencoders: Learning useful representations in a deep network with a local denoising criterion
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Discovering DNA motifs and genomic variants associated with DNA methylation
2016 · External reference
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DeepGene: an advanced cancer type classifier based on deep learning and somatic point mutations
10.1186/s12859-016-1334-9 · 2016 · External reference
10.1109/tcbb.2014.2377729
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Predicting the prognosis of breast cancer by integrating clinical and microarray data with Bayesian networks
10.1093/bioinformatics/btl230 · 2006 · External reference
Integration of clinical and gene expression data has a synergetic effect on predicting breast cancer outcome
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10.1007/978-3-642-16345-6_15
10.1007/978-3-642-16345-6_15 · 2011 · External reference
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2007 · External reference
10.1101/081380
10.1101/081380 · External reference
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Comprehensive molecular portraits of human breast tumors
10.1038/nature11412 · 2012 · External reference
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Heterogeneous domain adaptation for IHC classification of breast cancer subtypes
10.1109/tcbb.2018.2877755 · 2018 · External reference
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10.1145/2647868.2654889
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A comprehensive comparison of random forests and support vector machines for microarray-based cancer classification
10.1186/1471-2105-9-319 · 2008 · External reference
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10.1023/a:1010933404324 · 2001 · External reference
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10.1016/j.ajpath.2017.04.022 · External reference
