Learning the pattern-based CRF for prediction of a protein local structure

Prediction of protein conformation from its amino acid sequence is widely acknowledged as one of the most important computational biology problems and is considered a source of interesting problem formulations for machine learning. Here methods of supervised learning stay side by side with statistic...

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Veröffentlicht in:	Informatica (Ljubljana) 2022-05, Vol.46 (6), p.135-141
Hauptverfasser:	Mukanov, Zhalgas, Takhanov, Rustem
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Algorithms Amino acids Energy Free energy Information theory Labeling Machine learning Parameterization Parameters Probabilistic models Proteins Statistical analysis Statistical physics
Online-Zugang:	Volltext
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