A systematic review on the use of methods for left-censored biomarker data

Autor:	Thiele, Dominik, König, Inke R.
Jazyk:	angličtina
Rok vydání:	2021
Předmět:	systematic review ddc: 610 left-censored 610 Medical sciences Medicine
Zdroj:	65th Annual Meeting of the German Association for Medical Informatics, Biometry and Epidemiology (GMDS), Meeting of the Central European Network (CEN: German Region, Austro-Swiss Region and Polish Region) of the International Biometric Society (IBS); 20200906-20200909; Berlin; DOCAbstr. 437 /20210226/
Popis:	Classifying patients into subgroups in precision medicine strongly relies on the availability of biomarker data like gene expression profiles. Although there is a huge amount of candidate data, finding suitable profiles still is challenging due to the lack of reproducibility and statistical power. In[for full text, please go to the a.m. URL] 65th Annual Meeting of the German Association for Medical Informatics, Biometry and Epidemiology (GMDS), Meeting of the Central European Network (CEN: German Region, Austro-Swiss Region and Polish Region) of the International Biometric Society (IBS)
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::da584964d1239d355eb5ac115b022167 http://nbn-resolving.de/urn:nbn:de:0183-20gmds3610 Zobrazit plný text záznamu