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Author Chetty, M.; Hallinan, J.; Ruz, G.A.; Wipat, A. doi  openurl
  Title Computational intelligence and machine learning in bioinformatics and computational biology Type
  Year 2022 Publication Biosystems Abbreviated Journal Biosystems  
  Volume 222 Issue Pages 104792  
  Keywords  
  Abstract (up) Bioinformatics and computational biology are major beneficiaries of the current innovations in artificial intelligence and machine learning. While Bioinformatics applies principles of computer science and technique to help understand the vast, diverse, and complex life sciences data and thus make it more useful, in contrast, Computational Biology applies computational approaches to address theoretical and experimental questions in biology. This Special Issue on Computational Intelligence and Machine Learning in Bioinformatics and Computational Biology comprises of extended versions of the key papers from the 18th IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB, 2021) which is a major event in the field of computational intelligence and its applications to problems in bioinformatics, computational biology, and biomedical engineering. The conference, run annually, provides a global forum for academic and industrial scientists from computer science, biology, chemistry, medicine, mathematics, statistics, and engineering, to discuss and present their latest research findings from theory to applications.  
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  Corporate Author Thesis  
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  Series Volume Series Issue Edition  
  ISSN 0303-2647 ISBN Medium  
  Area Expedition Conference  
  Notes Approved  
  Call Number UAI @ alexi.delcanto @ Serial 1689  
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