{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,12]],"date-time":"2026-03-12T04:20:52Z","timestamp":1773289252907,"version":"3.50.1"},"reference-count":20,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2015,11]]},"DOI":"10.1109\/bibm.2015.7359871","type":"proceedings-article","created":{"date-parts":[[2015,12,17]],"date-time":"2015-12-17T22:00:00Z","timestamp":1450389600000},"page":"1328-1335","source":"Crossref","is-referenced-by-count":43,"title":["Learning structure in gene expression data using deep architectures, with an application to gene clustering"],"prefix":"10.1109","author":[{"given":"Aman","family":"Gupta","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Haohan","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Madhavi","family":"Ganapathiraju","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/bth499"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TNB.2003.816225"},{"key":"ref12","article-title":"Greedy layer-wise training of deep networks","volume":"19","author":"bengio","year":"2007","journal-title":"Advances in neural information processing systems"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/0893-6080(89)90014-2"},{"key":"ref14","doi-asserted-by":"crossref","first-page":"504","DOI":"10.1126\/science.1127647","article-title":"Reducing the dimensionality of data with neural networks","volume":"313","author":"hinton","year":"2006","journal-title":"Science"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/17.9.763"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1145\/1273496.1273556"},{"key":"ref17","first-page":"1","article-title":"Theano: A CPU and GPU math compiler in Python","author":"bergstra","year":"2010","journal-title":"Proc 9th Python in Science Conf"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/BF01908075"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.2307\/2284239"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2004.68"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1049\/iet-syb.2008.0130"},{"key":"ref6","article-title":"A Survey: Time Travel in Deep Learning Space: An Introduction to Deep Learning Models and How Deep Learning Models Evolved from the Initial Ideas","author":"wang","year":"0","journal-title":"arXiv preprint arXiv 1510 04781 (2015)"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1162\/neco.2006.18.7.1527"},{"key":"ref8","first-page":"3371","article-title":"Stacked denoising autoencoders: Learning useful representations in a deep network with a local denoising criterion","volume":"11","author":"vincent","year":"2010","journal-title":"The Journal of Machine Learning Research"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/1390156.1390294"},{"key":"ref2","doi-asserted-by":"crossref","first-page":"102","DOI":"10.1126\/science.1081900","article-title":"Inferring genetic networks and identifying compound mode of action via expression profiling","volume":"301","author":"gardner","year":"2003","journal-title":"Science"},{"key":"ref1","doi-asserted-by":"crossref","first-page":"799","DOI":"10.1126\/science.1094068","article-title":"Inferring cellular networks using probabilistic graphical models","volume":"303 5659","author":"friedman","year":"2004","journal-title":"Science"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btg287"},{"key":"ref20","article-title":"Unsupervised feature construction and knowledge extraction from genome-wide assays of breast cancer with denoising autoencoders","volume":"20","author":"tan","year":"2015","journal-title":"Pacific Symposium on Biocomputing Pacific Symposium on Biocomputing"}],"event":{"name":"2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","location":"Washington, DC, USA","start":{"date-parts":[[2015,11,9]]},"end":{"date-parts":[[2015,11,12]]}},"container-title":["2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7350074\/7359638\/07359871.pdf?arnumber=7359871","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2017,6,24]],"date-time":"2017-06-24T01:56:57Z","timestamp":1498269417000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/7359871\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,11]]},"references-count":20,"URL":"https:\/\/doi.org\/10.1109\/bibm.2015.7359871","relation":{},"subject":[],"published":{"date-parts":[[2015,11]]}}}