Differential Gene Expression Analysis of Non-Small Cell Lung Cancer Samples to Classify Candidate Genes

Differential gene expression is an analysis of data, in which the RNA sequence data after next-generation sequencing are to be visualized for any quantitative changes levels experimental set. This work aims derive transcript statistics on a file with fold change genes normalized scale, order identify difference between reference genome and Non-Small Cell Lung Cancer (NSCLC) samples. insight makes clinical impact assessing characterizing candidate genes. The pipeline comprises tuxedo protocol programming language R standard ballgown package. resultant set plot displays depict their respective location significant expressing NSCLC samples compared prominent labels results explain differential particular across from both genders.