UCL  IRIS
Institutional Research Information Service
UCL Logo
Please report any queries concerning the funding data grouped in the sections named "Externally Awarded" or "Internally Disbursed" (shown on the profile page) to your Research Finance Administrator. Your can find your Research Finance Administrator at https://www.ucl.ac.uk/finance/research/rs-contacts.php by entering your department
Please report any queries concerning the student data shown on the profile page to:

Email: portico-services@ucl.ac.uk

Help Desk: http://www.ucl.ac.uk/ras/portico/helpdesk
Publication Detail
Evolving better RNAfold structure prediction
  • Publication Type:
    Conference
  • Authors:
    Langdon WB, Petke J, Lorenz R
  • Publisher:
    Springer International Publishing
  • Publication date:
    02/03/2018
  • Pagination:
    220, 236
  • Published proceedings:
    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
  • Volume:
    10781 LNCS
  • ISBN-13:
    9783319775524
  • Status:
    Published
  • Name of conference:
    EuroGP 2018, European Conference on Genetic Programming
  • Conference place:
    Parma, Italy
  • Conference start date:
    04/04/2018
  • Conference finish date:
    06/04/2018
  • Print ISSN:
    0302-9743
Abstract
© Springer International Publishing AG, part of Springer Nature 2018. Grow and graft genetic programming (GGGP) evolves more than 50000 parameters in a state-of-the-art C program to make functional source code changes which give more accurate predictions of how RNA molecules fold up. Genetic improvement updates 29% of the dynamic programming free energy model parameters. In most cases (50.3%) GI gives better results on 4655 known secondary structures from RNA_STRAND (29.0% are worse and 20.7% are unchanged). Indeed it also does better than parameters recommended by Andronescu, M., et al.: Bioinformatics 23(13) (2007) i19–i28.
Publication data is maintained in RPS. Visit https://rps.ucl.ac.uk
 More search options
UCL Researchers
Author
Dept of Computer Science
Author
Dept of Computer Science
University College London - Gower Street - London - WC1E 6BT Tel:+44 (0)20 7679 2000

© UCL 1999–2011

Search by