مشروع البحث: Early Diagnosis of Breast Cancer Using Microarray Technology
| dc.contributor.advisor | د. سعيد محمود زميط | |
| dc.date.accessioned | 2025-03-19T10:47:56Z | |
| dc.date.available | 2025-03-19T10:47:56Z | |
| dc.description | Over the last few years, many studies have focused on the classification and diagnosis of breast cancer using Microarray Technology. Several methods are used to analyze microarray data, yet R programming language is one of the most commonly used tools, R is an open source and open development software project for the analysis and comprehension of genomic data, based on the R. In this study, we analyzed secondary microarray data of 6 healthy samples and 4 breast cancer samples using R and Bioconductor software. The data was downloaded as CEL files from Gene Expression Omnibus (GEO) data sets through the NCBI website. The files firstly imported, read, preprocessed and assessed in R to insure its quality before the actual analysis. Differential expression profiles obtained utilizing the linear model (LIMMA) package. The resulting calculations was then clustered and used to produce heatmap | |
| dc.description.abstract | Over the last few years, many studies have focused on the classification and diagnosis of breast cancer using Microarray Technology. Several methods are used to analyze microarray data, yet R programming language is one of the most commonly used tools, R is an open source and open development software project for the analysis and comprehension of genomic data, based on the R. In this study, we analyzed secondary microarray data of 6 healthy samples and 4 breast cancer samples using R and Bioconductor software. The data was downloaded as CEL files from Gene Expression Omnibus (GEO) data sets through the NCBI website. The files firstly imported, read, preprocessed and assessed in R to insure its quality before the actual analysis. Differential expression profiles obtained utilizing the linear model (LIMMA) package. The resulting calculations was then clustered and used to produce heatmap | |
| dc.identifier | 7115 | |
| dc.identifier.uri | https://dspace.academy.edu.ly/handle/123456789/1561 | |
| dc.subject | Early Diagnosis of Breast Cancer Using Microarray Technology | |
| dc.title | Early Diagnosis of Breast Cancer Using Microarray Technology | |
| dspace.entity.type | Project | |
| project.endDate | 2019 | |
| project.funder.name | الهندسة الوراثية | |
| project.investigator | عبد المجيد عبد السلام محمد | |
| project.startDate | 2018 | |
| relation.isOrgUnitOfProject | 0cf86948-1caf-418c-b237-13be11b547e4 | |
| relation.isOrgUnitOfProject.latestForDiscovery | 0cf86948-1caf-418c-b237-13be11b547e4 |