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Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics - 8th European Conference, EvoBIO 2010, Istanbul, Turkey, April 7-9, 2010, Proceedings (Paperback, Edition.)
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Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics - 8th European Conference, EvoBIO 2010, Istanbul, Turkey, April 7-9, 2010, Proceedings (Paperback, Edition.)
Series: Lecture Notes in Computer Science, 6023
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The ?eld of bioinformatics has two main objectives: the creation
and main- nance of biological databases, and the discovery of
knowledge from life sciences
datainordertounravelthemysteriesofbiologicalfunction,leadingtonewdrugs
andtherapiesforhumandisease. Life sciencesdatacomeinthe
formofbiological sequences, structures, pathways, or literature.
One major aspect of discovering biological knowledge is to search,
predict, or model speci?c information in a given dataset in order
to generate new interesting knowledge. Computer science methods
such as evolutionary computation, machine learning, and data mining
all have a great deal to o?er the ?eld of bioinformatics. The goal
of the 8th - ropean Conference on Evolutionary Computation, Machine
Learning, and Data Mining in Bioinformatics (EvoBIO 2010) was to
bring together experts in these ?elds in order to discuss new and
novel methods for tackling complex biological problems. The 8th
EvoBIO conference was held in Istanbul, Turkey during April 7-9,
2010attheIstanbulTechnicalUniversity.
EvoBIO2010washeldjointlywiththe 13th European Conference on Genetic
Programming (EuroGP 2010), the 10th European Conference on
Evolutionary Computation in Combinatorial Opti- sation (EvoCOP
2010), and the conference on the applications of evolutionary
computation,EvoApplications. Collectively,the conferences
areorganizedunder the name Evo* (www. evostar. org). EvoBIO, held
annually as a workshop since 2003, became a conference in 2007 and
it is now the premiere European event for those interested in the
interface between evolutionary computation, machine learning, data
mining, bioinformatics, and computational biology.
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