168 search results - page 6 / 34 » Analysis of DNA Sequence Pattern Using Probabilistic Neural ... |
NN
2006
Springer
13 years 7 months ago
2006
Springer
Identification of the short DNA sequence motifs that serve as binding targets for transcription factors is an important challenge in bioinformatics. Unsupervised techniques from t...
ISAMI
2010
13 years 5 months ago
2010
Probabilistic models of languages are fundamental to understand and learn the profile of the subjacent code in order to estimate its entropy, enabling the verification and predicti...
ICANN
2007
Springer
14 years 1 months ago
2007
Springer
Present work introduces a probabilistic recognition scheme for hand gestures. Self organizing feature maps are used to model spatiotemporal information extracted through image proc...
NPL
2006
13 years 7 months ago
2006
A novel neural network model is described that implements context-dependent learning of complex sequences. The model utilises leaky integrate-and-fire neurons to extract timing inf...
RECOMB
2003
Springer
14 years 7 months ago
2003
Springer
The availability of whole genome sequences and high-throughput genomic assays opens the door for in silico analysis of transcription regulation. This includes methods for discover...