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» Rich Parameterization Improves RNA Structure Prediction
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BMCBI
2010
93views more  BMCBI 2010»
13 years 7 months ago
Hybridization thermodynamics of NimbleGen Microarrays
Background: While microarrays are the predominant method for gene expression profiling, probe signal variation is still an area of active research. Probe signal is sequence depend...
Ulrike Mückstein, Germán G. Leparc, Al...
IPPS
2006
IEEE
14 years 1 months ago
An experimental study of optimizing bioinformatics applications
As bioinformatics is an emerging application of high performance computing, this paper first evaluates the memory performance of several representative bioinformatics application...
Guangming Tan, Lin Xu, Shengzhong Feng, Ninghui Su...
EMNLP
2008
13 years 9 months ago
Stacking Dependency Parsers
We explore a stacked framework for learning to predict dependency structures for natural language sentences. A typical approach in graph-based dependency parsing has been to assum...
André F. T. Martins, Dipanjan Das, Noah A. ...
BMCBI
2010
172views more  BMCBI 2010»
13 years 2 months ago
Nonparametric identification of regulatory interactions from spatial and temporal gene expression data
Background: The correlation between the expression levels of transcription factors and their target genes can be used to infer interactions within animal regulatory networks, but ...
Anil Aswani, Soile V. E. Keränen, James Brown...
RECOMB
2003
Springer
14 years 7 months ago
Modeling dependencies in protein-DNA binding sites
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...
Yoseph Barash, Gal Elidan, Nir Friedman, Tommy Kap...