Asset Details

  • Description:
  • Comparison of the overall success rate with eight state-of-the-art methods
  • License:
  • CC-0
  • Rights Holder:
  • Springer Nature
  • License Rights Holder:
  • © The Author(s) 2019
  • Asset Type:
  • Image
  • Asset Subtype:
  • Table
  • Image Orientation:
  • Portrait
  • Image Dimensions:
  • 1024 x 3398
  • Image File Size:
  • 729 KB
  • Creator:
  • Lei Guo, Shunfang Wang, Mingyuan Li, Zicheng Cao
  • Credit:
  • Guo, L., Wang, S., Li, M., & Cao, Z. (2019). Accurate classification of membrane protein types based on sequence and evolutionary information using deep learning. BMC Bioinformatics, 20(Suppl 25), 700. https://doi.org/10.1186/s12859-019-3275-6.
  • Collection:
  • Keywords:
  • Deep learning, Membrane protein type prediction, Vector representation
  • Restrictions:
  • Property Release:
  • No
  • Model Release:
  • No
  • Purchasable:
  • Yes
  • Sensitive Materials:
  • No
  • Article Authors:
  • Lei Guo, Shunfang Wang, Mingyuan Li, Zicheng Cao
  • Article Copyright Year:
  • 2019
  • Publication Volume:
  • 20
  • Publication Issue:
  • Suppl 25
  • Publication Date:
  • 12/24/2019
  • DOI:
  • https://doi.org/10.1186/s12859-019-3275-6

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