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Persistent homology for prediction of protein folding
Year: 2019
Abstract:
Topological data analysis in an approach to use topological techniques for analysis of datasets. Persistent homology is one of the main tools of topological data analysis used for reducing the dimension and
complexity ...
Persistent homology for protein folding analysis
Year: 2019
Abstract:
Persistent homology is a concept in topological data analysis used to reduce the dimensionality and
complexity of the data sets, and also to determine topological features and delete noises. In this talk,
unfolding ...