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Application of ensemble clustering and survival tree analysis for identifying prognostic clinicogenomic features in patients with colorectal cancer from the 100,000 Genomes Project.

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Title: Application of ensemble clustering and survival tree analysis for identifying prognostic clinicogenomic features in patients with colorectal cancer from the 100,000 Genomes Project.
Authors: Wei, Yuguo1 (AUTHOR), Papachristou, Nikolaos1 (AUTHOR), Mueller, Stefanie1 (AUTHOR), Genomics England Research Consortium (AUTHOR), Ambrose, J. C.2 (AUTHOR), Arumugam, P.2 (AUTHOR), Bleda, M.2 (AUTHOR), Boardman-Pretty, F.2 (AUTHOR), Boustred, C. R.2 (AUTHOR), Brittain, H.2 (AUTHOR), Caulfield, M. J.2 (AUTHOR), Chan, G. C.2 (AUTHOR), Fowler, T.2 (AUTHOR), Giess, A.2 (AUTHOR), Hamblin, A.2 (AUTHOR), Henderson, S.2 (AUTHOR), Hubbard, T. J. P.2 (AUTHOR), Jackson, R.2 (AUTHOR), Jones, L. J.2 (AUTHOR), Kasperaviciute, D.2 (AUTHOR)
Source: BMC Research Notes. 10/2/2021, Vol. 14 Issue 1, p1-7. 7p.
Database: Academic Search Ultimate
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