A new semi-supervised learning model combined with Cox and SP-AFT models in cancer survival analysis
Crossref DOI link: https://doi.org/10.1038/s41598-017-13133-5
Published Online: 2017-10-12
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Chai, Hua
Li, Zi-na
Meng, De-yu
Xia, Liang-yong
Liang, Yong
Text and Data Mining valid from 2017-10-12
Version of Record valid from 2017-10-12
Article History
Received: 29 June 2017
Accepted: 19 September 2017
First Online: 12 October 2017
Competing Interests
: The authors declare that they have no competing interests.