Results obtained from real datasets.

<p>Figure shows the performance results of classifiers for datasets with changing number of most significant number of genes. Note that PLDA and NBLDA methods are not performed on the transformed data. However, the results for both transformed and non-transformed data are given in the same figure for the comparison purpose.</p

Simulation results for <i>k</i> = 2, <i>d</i>_<i>kj</i> = 10%, transformation: rlog.

<p>Figure shows the performance results of classifiers with changing parameters of sample size (<i>n</i>), number of genes (<i>p</i>) and type of dispersion (<i>φ = 0</i>.<i>01</i>: very slight, <i>φ = 0</i>.<i>1</i>: substantial, <i>φ = 1</i>: very high).</p

RNA-Seq classification workflow.

<p>RNA-Seq classification workflow.</p

Genewise dispersion estimations for real datasets.

<p>Genewise dispersion estimations for real datasets.</p

Description of real RNA-Seq datasets used in this study.

<p>Description of real RNA-Seq datasets used in this study.</p