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BMCBI
2007
105views more  BMCBI 2007»
13 years 10 months ago
Predicting RNA secondary structure by the comparative approach: how to select the homologous sequences
Background: The secondary structure of an RNA must be known before the relationship between its structure and function can be determined. One way to predict the secondary structur...
Stefan Engelen, Fariza Tahi
BMCBI
2008
110views more  BMCBI 2008»
13 years 10 months ago
Predikin and PredikinDB: a computational framework for the prediction of protein kinase peptide specificity and an associated da
Background: We have previously described an approach to predicting the substrate specificity of serine-threonine protein kinases. The method, named Predikin, identifies key conser...
Neil F. W. Saunders, Ross I. Brinkworth, Thomas Hu...
CORR
2008
Springer
116views Education» more  CORR 2008»
13 years 10 months ago
Learning to rank with combinatorial Hodge theory
Abstract. We propose a number of techniques for learning a global ranking from data that may be incomplete and imbalanced -- characteristics that are almost universal to modern dat...
Xiaoye Jiang, Lek-Heng Lim, Yuan Yao, Yinyu Ye
BMCBI
2006
239views more  BMCBI 2006»
13 years 10 months ago
Applying dynamic Bayesian networks to perturbed gene expression data
Background: A central goal of molecular biology is to understand the regulatory mechanisms of gene transcription and protein synthesis. Because of their solid basis in statistics,...
Norbert Dojer, Anna Gambin, Andrzej Mizera, Bartek...
BMCBI
2006
202views more  BMCBI 2006»
13 years 10 months ago
Spectral embedding finds meaningful (relevant) structure in image and microarray data
Background: Accurate methods for extraction of meaningful patterns in high dimensional data have become increasingly important with the recent generation of data types containing ...
Brandon W. Higgs, Jennifer W. Weller, Jeffrey L. S...