Trajectories, bifurcations, and pseudo-time in large clinical datasets: applications to myocardial infarction and diabetes data

BACKGROUND: Large observational clinical datasets are becoming increasingly available for mining associations between various disease traits and administered therapy. These datasets can be considered as representations of the landscape of all possible disease conditions, in which a concrete disease...

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Vydáno v:Gigascience
Hlavní autoři: Golovenkin, Sergey E, Bac, Jonathan, Chervov, Alexander, Mirkes, Evgeny M, Orlova, Yuliya V, Barillot, Emmanuel, Gorban, Alexander N, Zinovyev, Andrei
Médium: Artigo
Jazyk:Inglês
Vydáno: Oxford University Press 2020
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Research
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC7688475/
https://ncbi.nlm.nih.gov/pubmed/33241287
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/gigascience/giaa128
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