An SVM-wrapped multiobjective evolutionary feature selection approach for identifying cancer-microRNA markers

scientific article

An SVM-wrapped multiobjective evolutionary feature selection approach for identifying cancer-microRNA markers is …
instance of (P31):
scholarly articleQ13442814

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P356DOI10.1109/TNB.2013.2279131
P698PubMed publication ID24235309

P50authorUjjwal MaulikQ42146443
Anirban MukhopadhyayQ59193852
P433issue4
P921main subjectmicroRNAQ310899
feature selectionQ446488
P304page(s)275-281
P577publication date2013-12-01
P1433published inIEEE Transactions on NanoBioscienceQ15766217
P1476titleAn SVM-wrapped multiobjective evolutionary feature selection approach for identifying cancer-microRNA markers
P478volume12

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cites work (P2860)
Q47245090A Stack-based Ensemble Framework for Detecting Cancer MicroRNA Biomarkers.
Q37620910A feature selection method based on multiple kernel learning with expression profiles of different types
Q45943371Computer-aided biomarker discovery for precision medicine: data resources, models and applications.
Q89630597Detecting biomarkers from microarray data using distributed correlation based gene selection
Q51310381Identifying significant microRNA-mRNA pairs associated with breast cancer subtypes.

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