Abstract:
:There are still many open questions in data-analytic research pertaining to biomarker development in the era of personalized/precision medicine and big data. Among them is the question of what constitutes best practice for the extraction of prioritized lists of candidate biomarkers from smaller studies that are 'hypothesis generating' in nature. A recent comparison of methods to detect patient-specific aberrant expression events in small- to medium-sized (10 to 50 samples) studies provides results that favor the use of outlying degree methods. See related Research, http://genomemedicine.com/content/5/11/103.
journal_name
Genome Medjournal_title
Genome medicineauthors
Gaile DP,Miecznikowski JCdoi
10.1186/gm507subject
Has Abstractpub_date
2013-11-29 00:00:00pages
104issue
11issn
1756-994Xpii
gm507journal_volume
5pub_type
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