J S, T N, K S and K K (2013). “TCC: an R package for comparing tag count data with robust normalization strategies.” BMC Bioinformatics, 14, pp. 219.
K K, T N and K S (2012). “A normalization strategy for comparing tag count data.” Algorithms for Molecular Biology, 7, pp. 5.
MD R and A O (2010). “A scaling normalization method for differential expression analysis of RNA-seq data.” Genome Biology, 11, pp. R25.
K K, Y N and K S (2008). “A weighted average difference method for detecting differentially expressed genes from microarray data.” Algorithms Mol Biol., 3, pp. 8.
TJ H and KA K (2010). “baySeq: empirical Bayesian methods for identifying differential expression in sequence count data.” BMC Bioinformatics, 11, pp. 422.
K K, SI N, H B, S N, Y H, Y O and K T (2003). “Detection of genes with tissue-specific expression patterns using Akaike's Information Criterion (AIC) procedure.” Physiol Genomics, 12, pp. -8.
S A and W H (2010). “Differential expression analysis for sequence count data.” Genome Biology, 11(10), pp. R106.
DJ M, Y C and GK S (2012). “Differential expression analysis of multifactor RNA-Seq experiments with respect to biological variation.” Nucleic Acids Research, 40, pp. -9.
MD R, DJ M and GK S (2010). “edgeR: a Bioconductor package for differential expression analysis of digital gene expression data.” Bioinformatics, 26(1), pp. -1.
K K, J Y, Y N, T T and K S (2006). “ROKU: a novel method for identification of tissue-specific genes.” BMC Bioinformatics, 7, pp. 294.
T U (1996). “Simple method for the detection of outliers.” Japanese J Appl Stat, 25, pp. -9.
MD R and GK S (2008). “Small-sample estimation of negative binomial dispersion, with applications to SAGE data.” Biostatistics, 9, pp. -11.
Y D, DW S, JS C and JH C (2010). “The NBP negative binomial model for assessing differential gene expression from RNA-Seq.” Stat Appl Genet Mol Biol, 26(1), pp. -1.