Sparse Logistic Regression with Lp Penalty for Biomarker Identification
Liu Zhenqiu,
Jiang Feng,
Tian Guoliang,
Wang Suna,
Sato Fumiaki,
Meltzer Stephen J. and
Tan Ming
Additional contact information
Liu Zhenqiu: University of Maryland
Jiang Feng: University of Maryland
Tian Guoliang: University of Maryland
Wang Suna: University of Maryland School of Medicine
Sato Fumiaki: Johns Hopkins University School of Medicine
Meltzer Stephen J.: Johns Hopkins University School of Medicine
Tan Ming: University of Maryland Greenebaum Cancer Center
Statistical Applications in Genetics and Molecular Biology, 2007, vol. 6, issue 1, 22
Abstract:
In this paper, we propose a novel method for sparse logistic regression with non-convex regularization Lp (p
Keywords: sparse logistic regression; Lp penalty; feature selection; microarry analysis (search for similar items in EconPapers)
Date: 2007
References: View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
https://doi.org/10.2202/1544-6115.1248 (text/html)
For access to full text, subscription to the journal or payment for the individual article is required.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:bpj:sagmbi:v:6:y:2007:i:1:n:6
Ordering information: This journal article can be ordered from
https://www.degruyter.com/journal/key/sagmb/html
DOI: 10.2202/1544-6115.1248
Access Statistics for this article
Statistical Applications in Genetics and Molecular Biology is currently edited by Michael P. H. Stumpf
More articles in Statistical Applications in Genetics and Molecular Biology from De Gruyter
Bibliographic data for series maintained by Peter Golla ().