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ACSNI: An unsupervised machine-learning tool for prediction of tissue-specific pathway components using gene expression profiles
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Barts Cancer Institute
Centre for Molecular Oncology
ACSNI: An unsupervised machine-learning tool for prediction of tissue-specific pathway components using gene expression profiles
QMRO Home
Barts Cancer Institute
Centre for Molecular Oncology
ACSNI: An unsupervised machine-learning tool for prediction of tissue-specific pathway components using gene expression profiles
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ACSNI: An unsupervised machine-learning tool for prediction of tissue-specific pathway components using gene expression profiles
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Published version (6.629Mb)
Volume
2
Pagination
100270 - 100270
Publisher
Elsevier BV
DOI
10.1016/j.patter.2021.100270
Journal
Patterns
Issue
6
ISSN
2666-3899
Metadata
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Authors
Anene, CA; Khan, F; Bewicke-Copley, F; Maniati, E; Wang, J
URI
https://qmro.qmul.ac.uk/xmlui/handle/123456789/72501
Collections
Centre for Molecular Oncology
[272]
Language
en
Licence information
This is an open access article under the CC BY license
Copyright statements
(c) 2021 The Author(s).
Except where otherwise noted, this item's license is described as This is an open access article under the CC BY license