University of Oulu

Predicting cancer trajectories using the commonality of words

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Author: Ackers, Dan1
Organizations: 1University of Oulu, Faculty of Information Technology and Electrical Engineering, Computer Science
Format: ebook
Version: published version
Access: restricted
  Theses with restricted access are only available for reading on the e-thesis workstations.
Pages: 41
Persistent link: http://urn.fi/URN:NBN:fi:oulu-202012183382
Language: English
Published: Oulu : D. Ackers, 2020
Publish Date: 2020-12-18
Thesis type: Master's thesis (tech)
Tutor: Oussalah, Mourad
Reviewer: Partala, Juha
Oussalah, Mourad
Subjects:
Copyright information: © Dan Ackers, 2020. This publication is copyrighted. You may download, display and print it for your own personal use. Commercial use is prohibited.