This package applies linear discriminant analysis using Poisson (PLDA) and Negative Binomial (NBLDA) distributions
for the classification of count data, such as gene expression data from RNA-sequencing. PLDA algorithms has been proposed by
Witten (2011) through an R package
PoiClaClu which is available at CRAN. Dong et. al. (2016) proposed an extension of PLDA to
negative Binomial distribution. However, the algorithm is not provided through an R package. Hence, we develop an R package
to make the proposed algorithm be available through CRAN. Detailed information about mathematical backgrounds can be found in the references
Dincer Goksuluk, Gokmen Zararsiz, Selcuk Korkmaz, A. Ergun Karaagaoglu
Dincer Goksuluk (Correspondence), [email protected]
Gokmen Zararsiz, [email protected]
Selcuk Korkmaz, [email protected]
Witten, DM (2011). Classification and clustering of sequencing data using a Poisson model. Ann. Appl. Stat. 5(4), 2493–2518. doi:10.1214/11-AOAS493.
Dong, K., Zhao, H., Tong, T., & Wan, X. (2016). NBLDA: negative binomial linear discriminant analysis for RNA-Seq data. BMC Bioinformatics, 17(1), 369. http://doi.org/10.1186/s12859-016-1208-1
|License:||GPL (>= 2)|
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