Showing 141 - 160 results of 1,491 for search '"bioinformatics"', query time: 0.11s Refine Results
  1. 141
  2. 142
  3. 143
  4. 144
  5. 145
  6. 146
  7. 147
  8. 148
  9. 149

    Glucometabolic-Related Genes as Diagnostic Biomarkers and Therapeutic Targets for Alzheimer’s Disease and Type 2 Diabetes Mellitus: A Bioinformatics Analysis by Shuo Liu, He Chen, Xiao-Dong He, Xiao-Ou Yang

    Published 2024-01-01
    “…By analyzing microarray datasets from the Gene Expression Omnibus (GEO) repository, we identified differentially expressed glucometabolic genes (DEGs) in AD and T2DM cohorts. A range of bioinformatics tools were employed for functional annotation, pathway enrichment, protein interaction network construction, module analysis, ROC curve assessment, correlation matrix construction, gene set enrichment analysis, and gene-drug interaction mapping of these DEGs. …”
    Get full text
    Article
  10. 150

    Based on bioinformatics, SESN2 negatively regulates ferroptosis induced by ischemia reperfusion via the System Xc−/GPX4 pathway by Jiejie Hu, Lijun Qin, Guoqiang Zhu, Jingjing Ren, Hongxia Wang, Jing Jin, Haixue Zheng, Dan Li, Zhaoming Ge

    Published 2025-01-01
    “…Transcriptomic sequencing of the cells was performed first, followed by bioinformatics analysis. Differentially expressed gene (DEG) enrichment analysis highlighted ferroptosis-related pathways.ResultsUsing Venn analysis, nine ferroptosis-related DEGs were identified, namely, Slc3a2, Slc7a11, Ccn2, Tfrc, Atf3, Chac1, Gch1, Lcn2, and Sesn2. …”
    Get full text
    Article
  11. 151

    Identification of novel cytoskeleton protein involved in spermatogenic cells and sertoli cells of non-obstructive azoospermia based on microarray and bioinformatics analysis by Danial Hashemi Karoii, Hossein Azizi, Maryam Darvari, Ali Qorbanee, Dawan Jamal Hawezy

    Published 2025-01-01
    “…Methods The cytoskeleton, scaffold, and actin-binding genes were analyzed by microarray and bioinformatics (771 spermatogenic cellsgenes and 774 Sertoli cell genes). …”
    Get full text
    Article
  12. 152
  13. 153
  14. 154
  15. 155
  16. 156
  17. 157
  18. 158
  19. 159
  20. 160