ISSN: 0974-276X
Department of Computer Sciences, Ahlia University, Wad Madani, Sudan
Research Article
Identification of Breast Cancer Pathways Based on Gene Expression Data
Author(s): Elham Musa Abdeljalil*, Murtada K. Elbashir and Abdallah Osman Akode
Pathway enrichment analysis assists researchers in gaining mechanical insights into the list of genes generated
by genome-scale experiments (omics). In this work, we used breast cancer gene expression data to recognize
genetic pathways. The pathways were conducted based on KEGG (Kyoto Encyclopedia of Genes and Genomes)
and GO-ALL (Gene Ontology) using the PathfindR tool. The gene expression data were downloaded from the
Pan-Cancer-Atlas using the R studio program. Preprocessing steps were performed on the downloaded gene
expression data. These steps are as follows: First, the outlier samples were removed second; a normalization
process was applied to the data. Third, a filtering process is applied to the data. DESeq2 package is used to find
Differentially Expressed Genes (DEGs).Thereafter, we used the pathfindR software to conduct the enrichment
analysis .also,.. View More»
DOI:
10.35248/0974-276X.22.15.612