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CSB
2003
IEEE
110views Bioinformatics» more  CSB 2003»
15 years 11 months ago
Statistical Inference for Well-ordered Structures in Nucleotide Sequences
Distinct, local structures are frequently correlated with functional RNA elements involved in posttranscriptional regulation of gene expression. Discovery of microRNAs (miRNAs) su...
Shu-Yun Le, Jih-H. Chen, Jacob V. Maizel
RECOMB
2005
Springer
16 years 6 months ago
Learning Interpretable SVMs for Biological Sequence Classification
Background: Support Vector Machines (SVMs) ? using a variety of string kernels ? have been successfully applied to biological sequence classification problems. While SVMs achieve ...
Christin Schäfer, Gunnar Rätsch, Sö...
CIKM
2008
Springer
15 years 8 months ago
Learning a two-stage SVM/CRF sequence classifier
Learning a sequence classifier means learning to predict a sequence of output tags based on a set of input data items. For example, recognizing that a handwritten word is "ca...
Guilherme Hoefel, Charles Elkan
RECOMB
2010
Springer
15 years 8 months ago
Leveraging Sequence Classification by Taxonomy-Based Multitask Learning
In this work we consider an inference task that biologists are very good at: deciphering biological processes by bringing together knowledge that has been obtained by experiments u...
Christian Widmer, Jose Leiva, Yasemin Altun, Gunna...
BMCBI
2008
121views more  BMCBI 2008»
15 years 6 months ago
BioSAVE: Display of scored annotation within a sequence context
Background: Visualization of sequence annotation is a common feature in many bioinformatics tools. For many applications it is desirable to restrict the display of such annotation...
Richard F. Pollock, Boris Adryan