ReProMSig: an integrative platform for development and application of reproducible multivariable models for cancer prognosis supporting guideline-based transparent reporting.
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%0 Journal Article
%1 journals/bib/ZhaoCJCW23
%A Zhao, Tingting
%A Cao, Lihua
%A Ji, Jiafu
%A Chang, David K.
%A Wu, Jianmin
%D 2023
%J Briefings Bioinform.
%K dblp
%N 5
%T ReProMSig: an integrative platform for development and application of reproducible multivariable models for cancer prognosis supporting guideline-based transparent reporting.
%U http://dblp.uni-trier.de/db/journals/bib/bib24.html#ZhaoCJCW23
%V 24
@article{journals/bib/ZhaoCJCW23,
added-at = {2023-11-01T00:00:00.000+0100},
author = {Zhao, Tingting and Cao, Lihua and Ji, Jiafu and Chang, David K. and Wu, Jianmin},
biburl = {https://www.bibsonomy.org/bibtex/2924fce0f80beca246d9d28c143ac2cb0/dblp},
ee = {https://doi.org/10.1093/bib/bbad267},
interhash = {a98b5c7ab01c0501ce7c7d32c5986ef0},
intrahash = {924fce0f80beca246d9d28c143ac2cb0},
journal = {Briefings Bioinform.},
keywords = {dblp},
month = {September},
number = 5,
timestamp = {2024-04-08T19:24:03.000+0200},
title = {ReProMSig: an integrative platform for development and application of reproducible multivariable models for cancer prognosis supporting guideline-based transparent reporting.},
url = {http://dblp.uni-trier.de/db/journals/bib/bib24.html#ZhaoCJCW23},
volume = 24,
year = 2023
}
