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» Using Bayesian networks to analyze expression data
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IWANN
2009
Springer
15 years 4 months ago
Bayesian Joint Estimation of CN and LOH Aberrations
SNP-microarrays are able to measure simultaneously both copy number and genotype at several single nucleotide polymorphism positions. Combining the two data, it is possible to bett...
Paola M. V. Rancoita, Marcus Hutter, Francesco Ber...
BMCBI
2011
14 years 1 months ago
Reconstructing genome-wide regulatory network of E. coli using transcriptome data and predicted transcription factor activities
Background: Gene regulatory networks play essential roles in living organisms to control growth, keep internal metabolism running and respond to external environmental changes. Un...
Yao Fu, Laura R. Jarboe, Julie A. Dickerson
BMCBI
2007
127views more  BMCBI 2007»
14 years 10 months ago
Characterization of protein-interaction networks in tumors
Background: Analyzing differential-gene-expression data in the context of protein-interaction networks (PINs) yields information on the functional cellular status. PINs can be for...
Alexander Platzer, Paul Perco, Arno Lukas, Bernd M...
ACL
2010
14 years 8 months ago
Phrase-Based Statistical Language Generation Using Graphical Models and Active Learning
Most previous work on trainable language generation has focused on two paradigms: (a) using a statistical model to rank a set of generated utterances, or (b) using statistics to i...
François Mairesse, Milica Gasic, Filip Jurc...
ACTA
2010
104views more  ACTA 2010»
14 years 10 months ago
Reachability results for timed automata with unbounded data structures
Systems of Data Management Timed Automata (SDMTAs) are networks of communicating timed automata with structures to store messages and functions to manipulate them. We prove the dec...
Ruggero Lanotte, Andrea Maggiolo-Schettini, Angelo...