EGE12TH INTERNATIONAL CONFERENCE ON APPLIED SCIENCES
GENE EXPRESSION IN HCC AND HCV-ASSOCIATED LıVER TISSUES: DISCOVERY OF POSSIBLE BIOMARKERS
Yayıncı:
Academy Global Publishing House
HCC, characterized by elevated death rates and recognized as a global public health issue, necessitates competent care, thorough surveillance, and customized medicines. Bioinformatics analyses are crucial for examining extensive datasets to uncover genetic and molecular insights into the causative causes of HCC, as well as to find prospective biomarkers and treatment targets. This study aimed to uncover biomarkers linked to HCC by analyzing gene expression data from liver tissues affected by HCC and HCV. The dataset included in the study comprises gene expression data from HCC and HCV tissue. The gene expression analysis of this data set was conducted using the capabilities provided by the limma package. The distribution of each tissue in the dataset is shown by the distribution graph and the expression density graph. The UMAP graph represents the association of tissue types. The genes exhibiting different regulation are represented in the volcano plot. The UMAP analysis revealed a perfect separation of the tissues in the dataset into two distinct groups. The analysis showed that many genes differed in both groups under log2FC>1 p<-1 and p
