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» Designing Neural Networks Using Gene Expression Programming
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GECCO
2011
Springer
274views Optimization» more  GECCO 2011»
12 years 11 months ago
Fuzzy dynamical genetic programming in XCSF
—A number of representation schemes have been presented for use within Learning Classifier Systems, ranging from binary encodings to Neural Networks, and more recently Dynamical ...
Richard Preen, Larry Bull
BMCBI
2006
82views more  BMCBI 2006»
13 years 7 months ago
Selection of antisense oligonucleotides based on multiple predicted target mRNA structures
Background: Local structures of target mRNAs play a significant role in determining the efficacies of antisense oligonucleotides (ODNs), but some structure-based target site selec...
Xiaochen Bo, Shaoke Lou, Daochun Sun, Wenjie Shu, ...
ICTAI
1996
IEEE
13 years 12 months ago
Forward-Tracking: A Technique for Searching Beyond Failure
In many applications, such as decision support, negotiation, planning, scheduling, etc., one needs to express requirements that can only be partially satisfied. In order to expres...
Elena Marchiori, Massimo Marchiori, Joost N. Kok
BMCBI
2002
136views more  BMCBI 2002»
13 years 7 months ago
Making sense of EST sequences by CLOBBing them
Background: Expressed sequence tags (ESTs) are single pass reads from randomly selected cDNA clones. They provide a highly cost-effective method to access and identify expressed g...
John Parkinson, David B. Guiliano, Mark L. Blaxter
BMCBI
2010
240views more  BMCBI 2010»
13 years 8 months ago
CircuitsDB: a database of mixed microRNA/transcription factor feed-forward regulatory circuits in human and mouse
Background: Transcription Factors (TFs) and microRNAs (miRNAs) are key players for gene expression regulation in higher eukaryotes. In the last years, a large amount of bioinforma...
Olivier Friard, Angela Re, Daniela Taverna, Michel...