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» Protein secondary structure prediction using neural networks
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SSDBM
2006
IEEE
163views Database» more  SSDBM 2006»
14 years 1 months ago
ACache: Using Caching to Improve the Performance of Multiple Sequence Alignments
Multiple sequence alignment represents a class of powerful bioinformatics tools with many uses in computational biology ranging from discovery of characteristic motifs and conserv...
Xun Tu, Kajal T. Claypool, Cindy X. Chen
33
Voted
BMCBI
2010
152views more  BMCBI 2010»
13 years 8 months ago
Comparative study of three commonly used continuous deterministic methods for modeling gene regulation networks
Background: A gene-regulatory network (GRN) refers to DNA segments that interact through their RNA and protein products and thereby govern the rates at which genes are transcribed...
Martin T. Swain, Johannes J. Mandel, Werner Dubitz...
EAAI
2007
199views more  EAAI 2007»
13 years 7 months ago
Nonlinear system modeling and robust predictive control based on RBF-ARX model
An integrated modeling and robust model predictive control (MPC) approach is proposed for a class of nonlinear systems with unknown steady state. First, the nonlinear system is id...
Hui Peng, Zi-Jiang Yang, Weihua Gui, Min Wu, Hideo...
PLDI
1995
ACM
13 years 11 months ago
Corpus-Based Static Branch Prediction
Correctly predicting the direction that branches will take is increasingly important in today’s wide-issue computer architectures. The name program-based branch prediction is gi...
Brad Calder, Dirk Grunwald, Donald C. Lindsay, Jam...
BIOINFORMATICS
2006
124views more  BIOINFORMATICS 2006»
13 years 7 months ago
Probabilistic inference of transcription factor concentrations and gene-specific regulatory activities
Motivation Quantitative estimation of the regulatory relationship between transcription factors and genes is a fundamental stepping stone when trying to develop models of cellular...
Guido Sanguinetti, Neil D. Lawrence, Magnus Rattra...