TY  - BOOK
AU  - Giacobini,Mario
AU  - Vanneschi,Leonardo
AU  - Bush,William S.
ED  - SpringerLink (Online service)
TI  - Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics: 10th European Conference, EvoBIO 2012, Málaga, Spain, April 11-13, 2012. Proceedings 
T2  - Lecture Notes in Computer Science,
SN  - 9783642290664
AV  - QH324.2-324.25 
U1  - 570.285 23
PY  - 2012///
CY  - Berlin, Heidelberg
PB  - Springer Berlin Heidelberg
KW  - Computer science
KW  - Data structures (Computer science)
KW  - Computer software
KW  - Database management
KW  - Artificial intelligence
KW  - Bioinformatics
KW  - Computer Science
KW  - Computational Biology/Bioinformatics
KW  - Algorithm Analysis and Problem Complexity
KW  - Database Management
KW  - Artificial Intelligence (incl. Robotics)
KW  - Computation by Abstract Devices
KW  - Data Structures
N2  - This book constitutes the refereed proceedings of the 10th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, EvoBIO 2012, held in Málaga, Spain, in April 2012 co-located with the Evo* 2012 events. The 15 revised full papers presented together with 8 poster papers were carefully reviewed and selected from numerous submissions. Computational Biology is a wide and varied discipline, incorporating aspects of statistical analysis, data structure and algorithm design, machine learning, and mathematical modeling toward the processing and improved understanding of biological data. Experimentalists now routinely generate new information on such a massive scale that the techniques of computer science are needed to establish any meaningful result. As a consequence, biologists now face the challenges of algorithmic complexity and tractability, and combinatorial explosion when conducting even basic analyses
UR  - http://dx.doi.org/10.1007/978-3-642-29066-4
ER  -