Effects of architecture on imputation of gene expression using deep neural networks

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Bibliographic Details
Main Author: Lai, Wing Khang
Format: Final Year Project / Dissertation / Thesis
Published: 2018
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Online Access:http://eprints.utar.edu.my/3045/1/fyp_CS_2018_LWK_%2D_1506808.pdf
http://eprints.utar.edu.my/3045/
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spelling my-utar-eprints.30452019-04-12T11:16:35Z Effects of architecture on imputation of gene expression using deep neural networks Lai, Wing Khang QA75 Electronic computers. Computer science T Technology (General) 2018-09-03 Final Year Project / Dissertation / Thesis NonPeerReviewed application/pdf http://eprints.utar.edu.my/3045/1/fyp_CS_2018_LWK_%2D_1506808.pdf Lai, Wing Khang (2018) Effects of architecture on imputation of gene expression using deep neural networks. Final Year Project, UTAR. http://eprints.utar.edu.my/3045/
institution Universiti Tunku Abdul Rahman
building UTAR Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tunku Abdul Rahman
content_source UTAR Institutional Repository
url_provider http://eprints.utar.edu.my
topic QA75 Electronic computers. Computer science
T Technology (General)
spellingShingle QA75 Electronic computers. Computer science
T Technology (General)
Lai, Wing Khang
Effects of architecture on imputation of gene expression using deep neural networks
format Final Year Project / Dissertation / Thesis
author Lai, Wing Khang
author_facet Lai, Wing Khang
author_sort Lai, Wing Khang
title Effects of architecture on imputation of gene expression using deep neural networks
title_short Effects of architecture on imputation of gene expression using deep neural networks
title_full Effects of architecture on imputation of gene expression using deep neural networks
title_fullStr Effects of architecture on imputation of gene expression using deep neural networks
title_full_unstemmed Effects of architecture on imputation of gene expression using deep neural networks
title_sort effects of architecture on imputation of gene expression using deep neural networks
publishDate 2018
url http://eprints.utar.edu.my/3045/1/fyp_CS_2018_LWK_%2D_1506808.pdf
http://eprints.utar.edu.my/3045/
_version_ 1646031075560914944
score 13.160551