NBLDA-package: Classifying count data using Poisson/Negative Binomial linear...

Description Author(s) References See Also


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 NBLDA to make the proposed algorithm be available through CRAN. Detailed information about mathematical backgrounds can be found in the references given below.


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

See Also


Package: NBLDA
Type: Package
License: GPL (>= 2)

NBLDA documentation built on May 2, 2019, 12:21 p.m.