NDLI: A novel framework for modeling Tumor Radiotherapy mechanism based on Gene-Environment Network (GEN) and Kinetic Theory

Content Provider	IEEE Xplore Digital Library
Author	Qi Jin-peng Zhang Qing Qi Jie Pu Fang
Copyright Year	2014
Description	Author affiliation: Coll. of Inf. Sci. & Technol., Donghua Univ., Shanghai, China (Qi Jin-peng; Qi Jie) \|\| Informationization Office, Donghua Univ., Shanghai, China (Pu Fang) \|\| Comput. Inf., Australia E-Health Res., CSIRO, Brisbane, QLD, Australia (Zhang Qing)
Abstract	Tumor, like many other diseases, results from a complex interplay of genetic and environmental risk factors. In order to understand the mechanisms of underlying aetiology, we propose a novel framework for modeling Tumor Radiotherapy Mechanism (TRM) based on Gene-Environment Network (GEN) and Kinetic Theory of Active Particle (KTAP). In this method, the integrated TRM model is divided into four subsystems, each of which is composed of the active particles with different discrete states at molecular level. The kinetics of integrated TRM is dealt as the outcomes of complicated mutual interactions among active particles within different subsystems at molecular level, as well as external environment cofactors at systematic level. The simulations show that our method is efficient to illustrate a series of cellular activities during and after tumor radiotherapy, and it is very helpful to analyze the mechanisms of tumor cellular self-defensive, as well as the outcomes of tumor radiotherapy under different Ion Radiation (IR) strategies, via indicators of toxins, genome stability, and tumor cell mass etc.
Starting Page	6889
Ending Page	6894
File Size	135390
Page Count	6
File Format	PDF
ISBN	9789881563873
ISSN	19341768
DOI	10.1109/ChiCC.2014.6896135
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-07-28
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	TCCT, CAA
Subject Keyword	GEN DNA Genomics Maintenance engineering Transmission line measurements Tumor Kinetic theory KTAP Radiotherapy Bioinformatics Modeling Tumors
Content Type	Text
Resource Type	Article

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