Deep imputation on large‐scale drug discovery data (English)
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- New search for: Irwin, Benedict W. J.
- New search for: Whitehead, Thomas M.
- New search for: Rowland, Scott
- New search for: Mahmoud, Samar Y.
- New search for: Conduit, Gareth J.
- New search for: Segall, Matthew D.
- New search for: Irwin, Benedict W. J.
- New search for: Whitehead, Thomas M.
- New search for: Rowland, Scott
- New search for: Mahmoud, Samar Y.
- New search for: Conduit, Gareth J.
- New search for: Segall, Matthew D.
In:
Applied AI Letters
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2
, 3
;
2021
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ISSN:
- Article (Journal) / Electronic Resource
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Title:Deep imputation on large‐scale drug discovery data
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Contributors:Irwin, Benedict W. J. ( author ) / Whitehead, Thomas M. ( author ) / Rowland, Scott ( author ) / Mahmoud, Samar Y. ( author ) / Conduit, Gareth J. ( author ) / Segall, Matthew D. ( author )
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Published in:Applied AI Letters ; 2, 3
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Publisher:
- New search for: Blackwell Publishing Ltd
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Publication date:2021-09-01
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Size:15 pages
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ISSN:
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DOI:
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Type of media:Article (Journal)
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Type of material:Electronic Resource
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Language:English
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Keywords:
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Source:
Table of contents – Volume 2, Issue 3
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
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Towards an affordable magnetomyography instrumentation and low model complexity approach for labour imminency prediction using a novel multiresolution analysisNsugbe, Ejay / Sanusi, Ibrahim et al. | 2021
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Deep imputation on large‐scale drug discovery dataIrwin, Benedict W. J. / Whitehead, Thomas M. / Rowland, Scott / Mahmoud, Samar Y. / Conduit, Gareth J. / Segall, Matthew D. et al. | 2021
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Adapting natural language processing for technical textDima, Alden / Lukens, Sarah / Hodkiewicz, Melinda / Sexton, Thurston / Brundage, Michael P. et al. | 2021