Unsupervised Learning from Noisy Networks with Applications to Hi-C Data

Article Details
Title:	Unsupervised Learning from Noisy Networks with Applications to Hi-C Data
Article URLs:	http://papers.nips.cc/paper/6291-unsupervised-learning-from-noisy-networks-with-applications-to-hi-c-data
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Authors:	Bo Wang	Stanford University, Department of Computer Science
	Junjie Zhu	Stanford University, Department of Electrical Engineering
	Armin Pourshafeie	Stanford University, Department of Physics
	Oana Ursu	Stanford University, Department of Genetics
	Serafim Batzoglou	Stanford University, Department of Computer Science
	Anshul Kundaje	Stanford University, Department of Computer Science Stanford University, Department of Genetics
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Artifact URLs:	http://papers.nips.cc/paper/6291-unsupervised-learning-from-noisy-networks-with-applications-to-hi-c-data-supplemental.zip
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DBLP Key:	conf/nips/WangZPUBK16
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Advances in Neural Information Processing Systems, NIPS 2016