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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Veröffentlicht in:	2014 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making (MCDM) S. 129 - 136
Hauptverfasser:	Grevisse, Christian, Muller, Ian, Jimenez Laredo, Juan Luis, Ostaszewski, Marek, Danoy, Gregoire, Bouvry, Pascal
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.12.2014
Schlagworte:	Correlation Data visualization Histograms Kernel Protein engineering Proteins Smoothing methods
Online-Zugang:	Volltext
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