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Related Concept Videos

Cancer Survival Analysis01:21

Cancer Survival Analysis

Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...
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Mouse Models of Cancer Study02:43

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Related Experiment Video

Updated: Jun 12, 2026

Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases
07:41

Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases

Published on: May 17, 2019

A multilevel data integration resource for breast cancer study.

Ettore Mosca1, Roberta Alfieri, Ivan Merelli

  • 1Institute for Biomedical Technologies, National Research Council, Segrate (Milan), Italy. ettore.mosca@itb.cnr.it

BMC Systems Biology
|June 8, 2010
PubMed
Summary
This summary is machine-generated.

This study introduces the Genes-to-Systems Breast Cancer (G2SBC) Database, a comprehensive resource for breast cancer research. It integrates multi-level data and analysis tools to advance systems biology approaches for understanding this complex disease.

Related Experiment Videos

Last Updated: Jun 12, 2026

Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases
07:41

Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases

Published on: May 17, 2019

Area of Science:

  • Systems biology
  • Genomics
  • Proteomics

Background:

  • Breast cancer is a complex disease requiring a multilevel research approach.
  • Understanding biological functions necessitates studying complex networks.
  • Systems biology utilizes pathways, protein-protein interactions (PPIs), and ontologies.

Purpose of the Study:

  • To present the Genes-to-Systems Breast Cancer (G2SBC) Database.
  • To integrate multi-level data for breast cancer research.
  • To facilitate a systems biology perspective on breast cancer.

Main Methods:

  • Data integration of genes, transcripts, and proteins from literature.
  • Development of an ontology-based query system.
  • Inclusion of analysis tools for pathways, PPIs, protein structure, and systems modeling.

Main Results:

  • The G2SBC Database integrates diverse breast cancer-related data.
  • An ontology-based query system and analysis tools are provided.
  • The resource supports a multilevel approach to breast cancer study.

Conclusions:

  • The G2SBC Database offers a systems biology-oriented data integration solution for breast cancer.
  • Its analysis capabilities facilitate predictions and new experimental directions.
  • This approach overcomes limitations of reductionist research methods.