ArticleStatistics in medicine2015
Vaccine design via nonnegative lasso-based variable selection.
Article in Statistics in medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
4 citing papers in PubMed.
- An adaptive and interpretable case grouping framework for healthcare payment systems.International journal for equity in health · 2026Article
- Data-driven prediction of cardiovascular and cerebrovascular diseases in a nationwide study.Scientific reports · 2025Article
- Penalized and constrained LAD estimation in fixed and high dimension.Statistical papers (Berlin, Germany) · 2022Article
- Algorithms for Fitting the Constrained Lasso.Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America · 2018Article
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Authors and funding
3 authors.
Funding
Abstract
There are many different strains of malaria parasites, each represented by a unique sequence of amino acids. A desirable vaccine would match the amino acid sequence of the parasite antigen. Because of the three-dimensional structure of protein, not all sites in the amino acid sequence participate in the binding between the vaccine-induced antibody and the parasite antigen. Nor do all sites have equal importance. In this work, we apply a nonnegative lasso-based variable selection to identify the 'important' amino acid sites and evaluate their relative importance. We then define a metric, the functional coverage, to measure the 'effective' matching in the amino acid sequence between the vaccine and the parasite. With the variable selection procedure, development of a vaccine needs only to target the important sites, and the potential effectiveness of a vaccine candidate is reflected by the functional coverage. Published 2015. This article is a U.S. Government work and is in the public domain in the USA.
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