Visualization and classification of protein secondary structures using Self-Organizing Maps

In molecular biology, it is estimated that there is a correlation between the secondary structure of a protein and its functionality. While secondary structure prediction is ultimately possible in wet lab, determining a correlation with the functionality is a hard task which can be facilitated by a...

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Vydané v:	2014 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making (MCDM) s. 129 - 136
Hlavní autori:	Grevisse, Christian, Muller, Ian, Jimenez Laredo, Juan Luis, Ostaszewski, Marek, Danoy, Gregoire, Bouvry, Pascal
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.12.2014
Predmet:	Correlation Data visualization Histograms Kernel Protein engineering Proteins Smoothing methods
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