Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Characterization of differentially expressed genes involved in pathways associated with gastric cancer


ABSTRACT: To explore the patterns of gene expression in gastric cancer, a total of 32 paired gastric cancer and noncancerous tissues from patients were collected for gene expression microarray analyses. Limma methods were applied to analyze the data, and genes were considered to be significantly differentially expressed if the False Discovery Rate (FDR) values < 0.01, P-value < 0.01 and the fold change >2. Subsequently, Gene Ontology (GO) analysis was used to analyze the main functions of the differentially expressed genes. According to the Kyoto Encyclopedia of Genes and Genomes (KEGG) database, we found pathways significantly associated with the differential genes. Gene-Act network and Co-Expression networks were built respectively based on the relationships among the genes, proteins and compounds

ORGANISM(S): Homo sapiens

SUBMITTER: hao li 

PROVIDER: E-GEOD-65801 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress