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» Learning Methods for DNA Binding in Computational Biology
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PPSN
1994
Springer
15 years 1 months ago
Genetic L-System Programming
We present the Genetic L-System Programming (GLP) paradigm for evolutionary creation and development of parallel rewrite systems (Lsystems, Lindenmayer-systems) which provide a com...
Christian Jacob
ISMB
1994
14 years 11 months ago
Predicting Location and Structure Of beta-Sheet Regions Using Stochastic Tree Grammars
We describe and demonstrate the effectiveness of a method of predicting protein secondary structures, sheet regions in particular, using a class of stochastic tree grammars as rep...
Hiroshi Mamitsuka, Naoki Abe
BMCBI
2006
180views more  BMCBI 2006»
14 years 9 months ago
Building multiclass classifiers for remote homology detection and fold recognition
Motivation Protein remote homology prediction and fold recognition are central problems in computational biology. Supervised learning algorithms based on support vector machines a...
Huzefa Rangwala, George Karypis
DIS
2006
Springer
15 years 1 months ago
Prediction of Domain-Domain Interactions Using Inductive Logic Programming from Multiple Genome Databases
Protein domains are the building blocks of proteins, and their interactions are crucial in forming stable protein-protein interactions (PPI) and take part in many cellular processe...
Thanh Phuong Nguyen, Tu Bao Ho
76
Voted
CEC
2007
IEEE
15 years 1 months ago
Evolving hypernetwork classifiers for microRNA expression profile analysis
Abstract-- High-throughput microarrays inform us on different outlooks of the molecular mechanisms underlying the function of cells and organisms. While computational analysis for ...
Sun Kim, Soo-Jin Kim, Byoung-Tak Zhang