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BMCBI
2007
160views more  BMCBI 2007»
15 years 6 months ago
Identifying protein complexes directly from high-throughput TAP data with Markov random fields
Background: Predicting protein complexes from experimental data remains a challenge due to limited resolution and stochastic errors of high-throughput methods. Current algorithms ...
Wasinee Rungsarityotin, Roland Krause, Arno Sch&ou...
BMCBI
2010
127views more  BMCBI 2010»
15 years 6 months ago
Deriving enzymatic and taxonomic signatures of metagenomes from short read data
Background: We propose a method for deriving enzymatic signatures from short read metagenomic data of unknown species. The short read data are converted to six pseudo-peptide cand...
Uri Weingart, Erez Persi, Uri Gophna, David Horn
AAI
2005
166views more  AAI 2005»
15 years 6 months ago
Interactive Knowledge Construction in the Collaborative Building of an Encyclopedia
1 One of the major challenges of Applied Artificial Intelligence is to provide environments where high level human activities like learning, constructing theories or performing exp...
Philippe Lemoisson, Stefano A. Cerri
BMCBI
2005
121views more  BMCBI 2005»
15 years 6 months ago
Evaluation of gene importance in microarray data based upon probability of selection
Background: Microarray devices permit a genome-scale evaluation of gene function. This technology has catalyzed biomedical research and development in recent years. As many import...
Li M. Fu, Casey S. Fu-Liu
BMCBI
2004
169views more  BMCBI 2004»
15 years 6 months ago
A power law global error model for the identification of differentially expressed genes in microarray data
Background: High-density oligonucleotide microarray technology enables the discovery of genes that are transcriptionally modulated in different biological samples due to physiolog...
Norman Pavelka, Mattia Pelizzola, Caterina Vizzard...