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JIB
2006
220views more  JIB 2006»
13 years 9 months ago
An assessment of machine and statistical learning approaches to inferring networks of protein-protein interactions
Protein-protein interactions (PPI) play a key role in many biological systems. Over the past few years, an explosion in availability of functional biological data obtained from hi...
Fiona Browne, Haiying Wang, Huiru Zheng, Francisco...
BMCBI
2005
92views more  BMCBI 2005»
13 years 9 months ago
Predicting functional sites with an automated algorithm suitable for heterogeneous datasets
Background: In a previous report (La et al., Proteins, 2005), we have demonstrated that the identification of phylogenetic motifs, protein sequence fragments conserving the overal...
David La, Dennis R. Livesay
BMCBI
2005
150views more  BMCBI 2005»
13 years 9 months ago
Discover protein sequence signatures from protein-protein interaction data
Background: The development of high-throughput technologies such as yeast two-hybrid systems and mass spectrometry technologies has made it possible to generate large protein-prot...
Jianwen Fang, Ryan J. Haasl, Yinghua Dong, Gerald ...
BMCBI
2004
98views more  BMCBI 2004»
13 years 9 months ago
Incidence of "quasi-ditags" in catalogs generated by Serial Analysis of Gene Expression (SAGE)
Background: Serial Analysis of Gene Expression (SAGE) is a functional genomic technique that quantitatively analyzes the cellular transcriptome. The analysis of SAGE libraries rel...
Sergey V. Anisimov, Alexei A. Sharov
BMCBI
2004
114views more  BMCBI 2004»
13 years 9 months ago
Profiled support vector machines for antisense oligonucleotide efficacy prediction
Background: This paper presents the use of Support Vector Machines (SVMs) for prediction and analysis of antisense oligonucleotide (AO) efficacy. The collected database comprises ...
Gustavo Camps-Valls, Alistair M. Chalk, Antonio J....