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The tspair package for finding top scoring pair classifiers in R
Summary: Top scoring pairs (TSPs) are pairs of genes whose relative rankings can be used to accurately classify individuals into one of two classes. TSPs have two main advantages over many standard classifiers used in gene expression studies: (i) a TSP is based on only two genes, which leads to easi...
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Formato: | Texto |
Lenguaje: | English |
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Oxford University Press
2009
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2672632/ https://www.ncbi.nlm.nih.gov/pubmed/19276151 http://dx.doi.org/10.1093/bioinformatics/btp126 |
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author | Leek, Jeffrey T. |
author_facet | Leek, Jeffrey T. |
author_sort | Leek, Jeffrey T. |
collection | PubMed |
description | Summary: Top scoring pairs (TSPs) are pairs of genes whose relative rankings can be used to accurately classify individuals into one of two classes. TSPs have two main advantages over many standard classifiers used in gene expression studies: (i) a TSP is based on only two genes, which leads to easily interpretable and inexpensive diagnostic tests and (ii) TSP classifiers are based on gene rankings, so they are more robust to variation in technical factors or normalization than classifiers based on expression levels of individual genes. Here I describe the R package, tspair, which can be used to quickly identify and assess TSP classifiers for gene expression data. Availability: The R package tspair is freely available from Bioconductor: http://www.bioconductor.org Contact: jtleek@jhu.edu |
format | Text |
id | pubmed-2672632 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2009 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-26726322009-04-29 The tspair package for finding top scoring pair classifiers in R Leek, Jeffrey T. Bioinformatics Applications Note Summary: Top scoring pairs (TSPs) are pairs of genes whose relative rankings can be used to accurately classify individuals into one of two classes. TSPs have two main advantages over many standard classifiers used in gene expression studies: (i) a TSP is based on only two genes, which leads to easily interpretable and inexpensive diagnostic tests and (ii) TSP classifiers are based on gene rankings, so they are more robust to variation in technical factors or normalization than classifiers based on expression levels of individual genes. Here I describe the R package, tspair, which can be used to quickly identify and assess TSP classifiers for gene expression data. Availability: The R package tspair is freely available from Bioconductor: http://www.bioconductor.org Contact: jtleek@jhu.edu Oxford University Press 2009-05-01 2009-03-10 /pmc/articles/PMC2672632/ /pubmed/19276151 http://dx.doi.org/10.1093/bioinformatics/btp126 Text en © 2009 The Author(s) http://creativecommons.org/licenses/by-nc/2.0/uk/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Applications Note Leek, Jeffrey T. The tspair package for finding top scoring pair classifiers in R |
title | The tspair package for finding top scoring pair classifiers in R |
title_full | The tspair package for finding top scoring pair classifiers in R |
title_fullStr | The tspair package for finding top scoring pair classifiers in R |
title_full_unstemmed | The tspair package for finding top scoring pair classifiers in R |
title_short | The tspair package for finding top scoring pair classifiers in R |
title_sort | tspair package for finding top scoring pair classifiers in r |
topic | Applications Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2672632/ https://www.ncbi.nlm.nih.gov/pubmed/19276151 http://dx.doi.org/10.1093/bioinformatics/btp126 |
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