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RRCRank: a fusion method using rank strategy for residue-residue contact prediction.

Xiaoyang JingQiwen DongRuqian Lu
Published in: BMC bioinformatics (2017)
The learning-to-rank algorithm is introduced to develop a novel rank-based method for the residue-residue contact prediction of proteins, which achieves state-of-the-art performance based on the extensive assessment.
Keyphrases
  • amino acid
  • machine learning
  • deep learning