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Issue No. 03 - March (2012 vol. 45)
ISSN: 0018-9162
pp: 22-23
T.M. Murali , Virginia Tech
ABSTRACT
The complexity, diversity, and richness of experimental data on cellular systems are inspiring the development of computational analysis techniques that can directly prioritize and suggest new experiments.
INDEX TERMS
computational biology
CITATION
T.M. Murali, "Guest Editor's Introduction: Computationally Driven Experimental Biology", Computer, vol. 45, no. , pp. 22-23, March 2012, doi:10.1109/MC.2012.93
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