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» Using Multiple Alignments to Improve Gene Prediction
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139
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ACL
2007
15 years 5 months ago
Improved Word-Level System Combination for Machine Translation
Recently, confusion network decoding has been applied in machine translation system combination. Due to errors in the hypothesis alignment, decoding may result in ungrammatical co...
Antti-Veikko I. Rosti, Spyridon Matsoukas, Richard...
126
Voted
BMCBI
2008
86views more  BMCBI 2008»
15 years 3 months ago
Predicting protein linkages in bacteria: Which method is best depends on task
Background: Applications of computational methods for predicting protein functional linkages are increasing. In recent years, several bacteria-specific methods for predicting link...
Anis Karimpour-Fard, Sonia M. Leach, Ryan T. Gill,...
115
Voted
RECOMB
2010
Springer
15 years 5 months ago
Subnetwork State Functions Define Dysregulated Subnetworks in Cancer
Abstract. Emerging research demonstrates the potential of proteinprotein interaction (PPI) networks in uncovering the mechanistic bases of cancers, through identification of intera...
Salim A. Chowdhury, Rod K. Nibbe, Mark R. Chance, ...
143
Voted
BMCBI
2010
152views more  BMCBI 2010»
15 years 3 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...
126
Voted
BMCBI
2006
93views more  BMCBI 2006»
15 years 3 months ago
A summarization approach for Affymetrix GeneChip data using a reference training set from a large, biologically diverse database
Background: Many of the most popular pre-processing methods for Affymetrix expression arrays, such as RMA, gcRMA, and PLIER, simultaneously analyze data across a set of predetermi...
Simon Katz, Rafael A. Irizarry, Xue Lin, Mark Trip...