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231224s2014 xx |||||o 00| ||eng c |
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|a 10.1002/adma.201401402
|2 doi
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|a pubmed24n0800.xml
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|a eng
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| 100 |
1 |
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|a Copp, Stacy M
|e verfasserin
|4 aut
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| 245 |
1 |
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|a Base motif recognition and design of DNA templates for fluorescent silver clusters by machine learning
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|c 2014
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| 336 |
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|a Text
|b txt
|2 rdacontent
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|a ƒaComputermedien
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|a ƒa Online-Ressource
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|a Date Completed 12.05.2015
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|a Date Revised 30.09.2020
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|a published: Print-Electronic
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|a ErratumIn: Adv Mater. 2016 Apr;28(16):3043. - PMID 27105811
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|a Citation Status MEDLINE
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| 520 |
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|a © 2014 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.
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|a Discriminative base motifs within DNA templates for fluorescent silver clusters are identified using methods that combine large experimental data sets with machine learning tools for pattern recognition. Combining the discovery of certain multibase motifs important for determining fluorescence brightness with a generative algorithm, the probability of selecting DNA templates that stabilize fluorescent silver clusters is increased by a factor of >3
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| 650 |
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|a Journal Article
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| 650 |
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|a Research Support, N.I.H., Extramural
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| 650 |
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|a Research Support, U.S. Gov't, Non-P.H.S.
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| 650 |
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4 |
|a DNA nanotechnology
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| 650 |
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4 |
|a base motifs
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| 650 |
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4 |
|a fluorescent silver clusters
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| 650 |
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4 |
|a ligand-stabilized clusters
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| 650 |
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4 |
|a machine learning
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| 650 |
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7 |
|a Silver Compounds
|2 NLM
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| 650 |
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|a DNA
|2 NLM
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| 650 |
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7 |
|a 9007-49-2
|2 NLM
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| 700 |
1 |
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|a Bogdanov, Petko
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Debord, Mark
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Singh, Ambuj
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Gwinn, Elisabeth
|e verfasserin
|4 aut
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| 773 |
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8 |
|i Enthalten in
|t Advanced materials (Deerfield Beach, Fla.)
|d 1998
|g 26(2014), 33 vom: 03. Sept., Seite 5839-45
|w (DE-627)NLM098206397
|x 1521-4095
|7 nnns
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| 773 |
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|g volume:26
|g year:2014
|g number:33
|g day:03
|g month:09
|g pages:5839-45
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|u http://dx.doi.org/10.1002/adma.201401402
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