Sciweavers

214 search results - page 4 / 43
» Simple but effective methods for combining kernels in comput...
Sort
View
RECOMB
2003
Springer
14 years 6 months ago
Combining phylogenetic and hidden Markov models in biosequence analysis
A few models have appeared in recent years that consider not only the way substitutions occur through evolutionary history at each site of a genome, but also the way the process c...
Adam C. Siepel, David Haussler
RECOMB
2004
Springer
13 years 11 months ago
Application of Kernel Method to Reveal Subtypes of TF Binding Motifs
Transcription factor binding sites often contain several subtypes of sequences that follow not just one but several different patterns. We developed a novel sensitive method based ...
Alexander E. Kel, Yuri Tikunov, Nico Voss, Jü...
BMCBI
2006
82views more  BMCBI 2006»
13 years 5 months ago
A method for computing the overall statistical significance of a treatment effect among a group of genes
Background: In studies that use DNA arrays to assess changes in gene expression, our goal is to evaluate the statistical significance of treatments on sets of genes. Genes can be ...
Robert R. Delongchamp, Taewon Lee, Cruz Velasco
IPM
2008
159views more  IPM 2008»
13 years 5 months ago
Exploring syntactic structured features over parse trees for relation extraction using kernel methods
Extracting semantic relationships between entities from text documents is challenging in information extraction and important for deep information processing and management. This ...
Min Zhang, Guodong Zhou, AiTi Aw
BIBM
2008
IEEE
125views Bioinformatics» more  BIBM 2008»
13 years 7 months ago
On the Role of Local Matching for Efficient Semi-supervised Protein Sequence Classification
Recent studies in protein sequence analysis have leveraged the power of unlabeled data. For example, the profile and mismatch neighborhood kernels have shown significant improveme...
Pavel P. Kuksa, Pai-Hsi Huang, Vladimir Pavlovic