Systems Analysis of Cancer

Cancers remain the lead cause of disease-related, pediatric death in North America. The emerging field of complex systems has redefined cancer networks as a computational system with intractable algorithmic complexity. Herein, a tumor and its heterogeneous phenotypes are discussed as dynamical systems having multiple, strange attractors. Machine learning, network science and algorithmic information dynamics are discussed as current tools for cancer network reconstruction. Deep Learning architectures and computational fluid models are proposed for better forecasting gene expression patterns in cancer ecosystems. Cancer cell decision-making is investigated within the framework of complex systems and complexity theory.

  • Stem cell reprogramming
  • Boolean networks
  • Fixed gene set enrichment analysis
  • De novo Network construction and clustering
  • Network based modeling

Related Conference of Systems Analysis of Cancer

October 17-18, 2022

21st International Conference on Structural Biology

Barcelona, Spain
November 15-16, 2022

3rd Experts Meeting on Plant, Cellular and Molecular Biology

Budapest, Hungary
November 21-22, 2022

4th Annual summit on Cell Signaling and Cancer Therapy

Montreal, Canada
May 03-04, 2023

16th World Congress on Stem Cell Research

Paris, France
May 03-04, 2023

Global Conference on Cell and Gene Therapy

Paris, France

Systems Analysis of Cancer Conference Speakers

Recommended Sessions

Related Journals

Are you interested in