Identification Of Novel Biomarkers In Ovarian Cancer: Systems Biology Approaches Daha büyük görüntüle

Identification Of Novel Biomarkers In Ovarian Cancer: Systems Biology Approaches

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Akademisyen Kitabevi



ISBN: 9786052588314
Basım Yılı:
Sayfa Sayısı: 172

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İçindekiler

  • 1. Introduction
  •        1.1. RNA-based ovarian cancer research       
  •        1.2. Ovarian cancer research should meet integrative multi-omics science
  •        1.3. Ovarian diseases including polycystic ovarian syndrome (PCOS), ovarian endometriosis and ovarian cancer
  •        1.4. Aim of the Study
  • 2. Materials and Methods
  •        2.1. Reconstruction of transcriptional regulatory network of H. sapiens
  •        2.2. Topological analysis of transcriptional regulatory networks
  •        2.3. Selection of gene expression datasets
  •        2.4. Identification of differentially expressed genes
  •        2.5. Reconstruction of ovarian cancer specific subnetwork
  •        2.6. Analysis of network performance
  •        2.7. Robustness analysis
  •        2.8. Identification of reporter receptors, membrane proteins, transcription factors and miRNAs
  •        2.9. Determination of reporter metabolites
  •        2.10. Enrichment analyses of DEGs and reporter metabolites
  •        2.11. Comprehensive networks in CEPI, stroma and tumor tissues
  •        2.12. Construction of co-expression networks in diseased and healthy states
  •        2.13. Determination of network modules and their differential co-expression
  •        2.14. Prognostic power analysis of module genes
  •        2.15. Identification of transcriptional regulatory network including module genes
  •        2.16. Screening the differential expression of the module in different tumor types
  •        2.17. Differential Protein Interactome Analysis
  •        2.17.1. Protein interaction data
  •        2.17.2. Determination of entropies corresponding to each interaction
  • 3. Results and Discussion
  •        3.1. A generic transcriptional regulatory network of H. sapiens was reconstructed
  •        3.2. Reporter biomolecules of ovarian cancer were identified through network medicine perspective
  •        3.3. Differential co-expression analysis reveals a novel prognostic gene module in ovarian cancer
  •        3.4. Ovarian cancer differential interactome and network entropy analysis reveal new candidate biomarkers
  •        3.5. Integrative and comperative analysis of ovarian diseases point out molecular signatures
  • 4. Conclusion
  • 5. References
ISBN9786052588314
Basım Yılı2020
Sayfa Sayısı172
Kitap Diliİngilizce
Yazar(lar)Esra GÖV
Ebat "cm"13,5 x 21
BISACSCI010000
DOIhttps://doi.org/10.37609/akya.496
Kapak TipiCiltsiz
İç Sayfa RenkleriRenksiz
İç Sayfa Kağıt Cinsi1. Hamur Kağıt

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Identification Of Novel Biomarkers In Ovarian Cancer: Systems Biology Approaches

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