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» Errors-in-variables methods in system identification
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2008
IEEE
13 years 11 months ago
Variable-grain and dynamic work generation for Minimal Unique Itemset mining
Abstract--SUDA2 is a recursive search algorithm for Minimal Unique Itemset detection. Such sets of items are formed via combinations of non-obvious attributes enabling individual r...
Paraskevas Yiapanis, David J. Haglin, Anna M. Mann...
BMCBI
2007
136views more  BMCBI 2007»
13 years 9 months ago
Prediction of tissue-specific cis-regulatory modules using Bayesian networks and regression trees
Background: In vertebrates, a large part of gene transcriptional regulation is operated by cisregulatory modules. These modules are believed to be regulating much of the tissue-sp...
Xiaoyu Chen, Mathieu Blanchette
BMCBI
2004
174views more  BMCBI 2004»
13 years 9 months ago
Implications for domain fusion protein-protein interactions based on structural information
Background: Several in silico methods exist that were developed to predict protein interactions from the copious amount of genomic and proteomic data. One of these methods is Doma...
Jer-Ming Chia, Prasanna R. Kolatkar
BMCBI
2002
136views more  BMCBI 2002»
13 years 9 months ago
Making sense of EST sequences by CLOBBing them
Background: Expressed sequence tags (ESTs) are single pass reads from randomly selected cDNA clones. They provide a highly cost-effective method to access and identify expressed g...
John Parkinson, David B. Guiliano, Mark L. Blaxter
BMCBI
2002
131views more  BMCBI 2002»
13 years 9 months ago
Efficient Boolean implementation of universal sequence maps (bUSM)
Background: Recently, Almeida and Vinga offered a new approach for the representation of arbitrary discrete sequences, referred to as Universal Sequence Maps (USM), and discussed ...
John Schwacke, Jonas S. Almeida