Introduction:
BIASLESS written in R and R-GUI was developed as a user-friendly tool for
classification of individuals from different populations/groups based on
high-dimensional genomic and transcriptomic marker data. BIASLESS
integrates forward variable selection and cross-validation procedures with
flexible discriminant analysis to select key predictive markers from enormous
numbers of single nucleotide polymorphism (SNP) and/or gene expression (GE)
markers. The selected informative markers can be used to classify samples
into populations/groups with the
highest cross-validation prediction accuracy.
Contact:
Please
kindly acknowledge if you have downloaded BIASLESS. We will inform you the update of BIASLESS. Any questions, comments and suggestions on BIASLESS
are welcome. Please send your feedback to
hsinchou@stat.sinica.edu.tw.
Citation:
Hsin-Chou Yang*, Pei-Li Wang, Chien-Wei
Lin, Chien-Hsiun Chen, and Chun-Houh
Chen. (2012) Integrative analysis of single nucleotide polymorphisms and gene
expression efficiently distinguishes samples from closely related ethnic
populations. BMC Genomics 13, 346. (http://www.biomedcentral.com/1471-2164/13/346/abstract)
Download:
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VERSION
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DOWNLOAD LINKS
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FILE TYPE
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FILE SIZE
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UPDATE
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BIASLESS 1.0
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Software
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ZIP
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3.2 MB
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2012-02-18
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User guide
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PDF
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470 KB
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2012-02-18
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BIASLESS must be executed
under the environment of R, a free public-domain package. Please download R package here (R-2.15.0-win.exe)
or from the website of CRAN (http://cran.csie.ntu.edu.tw/) before executing BIASLESS.