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Abstract: Protein fold recognition is an important step towards understanding protein three-dimensional structures and their functions. A conditional graphical model, i.e. segmentation conditional random fields (SCRFs), is proposed to solve the problem. In contrast to traditional graphical models such as hidden markov model (HMM), SCRFs follow a discriminative approach. It has the flexibility to include overlapping or long-range interaction features over the whole sequence, as well as global... (Update)
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BibTeX entry: (Update)
@misc{ liu-segmentation,
author = "Yan Liu and Jaime Carbonell and Peter Weigele and Vanathi Gopalakrishnan",
title = "Segmentation Conditional Random Fields (SCRFs): A New Approach for Protein
Fold Recognition",
url = "citeseer.ist.psu.edu/751620.html" }
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