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ELECANS—an integrated model development environment for multiscale cancer systems biology
Author(s) -
Safee Ullah Chaudhary,
SungYoung Shin,
Daewon Lee,
Je-Hoon Song,
KwangHyun Cho
Publication year - 2013
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btt063
Subject(s) - documentation , computer science , graphical user interface , interface (matter) , software , visualization , user interface , software engineering , systems biology , software development , modelling biological systems , human–computer interaction , data science , systems engineering , data mining , bioinformatics , programming language , biology , engineering , bubble , maximum bubble pressure method , parallel computing
Computational multiscale models help cancer biologists to study the spatiotemporal dynamics of complex biological systems and to reveal the underlying mechanism of emergent properties.

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