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Cancer Systems Biology

Abstract In contrast to prevailing wisdom that cancer is a genetic disease that evolves via Darwinian selection, it is increasingly recognized that in addition to genetic mutations, intratumoral heterogeneity also results through non-genetic mechanisms.
Ravi Salgia   +3 more
openaire   +1 more source

Systems Biology Applied to Cancer Research

2009
Complex diseases such as cancer have multiple origins and are therefore difficult to understand and cure. Highly parallel technologies such as DNA microarrays are now available. These provide a data deluge which needs to be mined for relevant information and integrated to existing knowledge at different scales.
Seigneuric, Renaud   +6 more
openaire   +3 more sources

[Systems biology of cancer].

Medecine sciences : M/S, 2010
Cancer Systems Biology is now accepted and recognized as a promising field both in biological and clinical research. It relies on a rigorous formalization of regulation networks into precise and unambiguous languages. It provides both detailed and modular views of the complex biological system of interest (which in cancer research is typically an ...
Emmanuel, Barillot   +2 more
openaire   +1 more source

Bioinformatics and Systems Biology of Cancers

2010
Molecular databases and bioinformatics methods and tools are essential for modern cancer research. Multilevel analyses of all the protein-coding genes, thousands of proteins, and hundreds of metabolites require integration in terms of signaling and metabolic pathways and networks.
openaire   +2 more sources

Cancer systems biology

2022
Jesús Espinal-Enríquez   +2 more
openaire   +1 more source

Cancer Systems Biology

2023
Andrea Califano   +3 more
openaire   +1 more source

Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries

Ca-A Cancer Journal for Clinicians, 2021
Hyuna Sung   +2 more
exaly  

Navigating Cancer Systems Biology

Cancer systems biology integrates experimental models, data analysis, and dynamic network modeling to elucidate the complex mechanisms underlying cancer progression. This chapter outlines the essential requirements for experimental models, emphasizing the need for well-characterized cancer subtypes and high-quality mouse models that mimic clinical ...
openaire   +1 more source

Cancer Systems Biology

2013
Zhihui Wang, Thomas S. Deisboeck
openaire   +2 more sources

Cancer Statistics, 2021

Ca-A Cancer Journal for Clinicians, 2021
Rebecca L Siegel, Kimberly D Miller
exaly  

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