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JCSS
2007
116views more  JCSS 2007»
15 years 4 months ago
The most probable annotation problem in HMMs and its application to bioinformatics
Hidden Markov models (HMMs) are often used for biological sequence annotation. Each sequence feature is represented by a collection of states with the same label. In annotating a ...
Brona Brejová, Daniel G. Brown 0001, Tom&aa...
AB
2007
Springer
15 years 10 months ago
Manifestation and Exploitation of Invariants in Bioinformatics
Whenever a programmer writes a loop, or a mathematician does a proof by induction, an invariant is involved. The discovery and understanding of invariants often underlies problem s...
Limsoon Wong
APBC
2003
116views Bioinformatics» more  APBC 2003»
15 years 5 months ago
An Empirical Comparison of Supervised Machine Learning Techniques in Bioinformatics
Research in bioinformatics is driven by the experimental data. Current biological databases are populated by vast amounts of experimental data. Machine learning has been widely ap...
Aik Choon Tan, David Gilbert
BMCBI
2007
128views more  BMCBI 2007»
15 years 4 months ago
Detailed estimation of bioinformatics prediction reliability through the Fragmented Prediction Performance Plots
Background: An important and yet rather neglected question related to bioinformatics predictions is the estimation of the amount of data that is needed to allow reliable predictio...
Oliviero Carugo
ICANN
2007
Springer
15 years 5 months ago
Solving Selected Classification Problems in Bioinformatics Using Multilayer Neural Network Based on Multi-Valued Neurons (MLMVN)
A multilayer neural network based on multi-valued neurons (MLMVN) is a new powerful tool for solving classification, recognition and prediction problems. This network has a number ...
Igor N. Aizenberg, Jacek M. Zurada