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» Using Bayesian networks to analyze expression data
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178
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CORR
2011
Springer
174views Education» more  CORR 2011»
14 years 7 months ago
Parameter Learning of Logic Programs for Symbolic-Statistical Modeling
We propose a logical/mathematical framework for statistical parameter learning of parameterized logic programs, i.e. de nite clause programs containing probabilistic facts with a ...
Yoshitaka Kameya, Taisuke Sato
BMCBI
2006
124views more  BMCBI 2006»
15 years 3 months ago
Network-based de-noising improves prediction from microarray data
Background: Prediction of human cell response to anti-cancer drugs (compounds) from microarray data is a challenging problem, due to the noise properties of microarrays as well as...
Tsuyoshi Kato, Yukio Murata, Koh Miura, Kiyoshi As...
ACSAC
2007
IEEE
15 years 10 months ago
Improving Signature Testing through Dynamic Data Flow Analysis
The effectiveness and precision of network-based intrusion detection signatures can be evaluated either by direct analysis of the signatures (if they are available) or by using bl...
Christopher Kruegel, Davide Balzarotti, William K....
131
Voted
SIGIR
1996
ACM
15 years 7 months ago
Retrieval of Complex Objects Using a Four-Valued Logic
The aggregated structure of documents plays a key role in full-text, multimedia, and network Information Retrieval (IR). Considering aggregation provides new querying facilities a...
Thomas Rölleke, Norbert Fuhr
151
Voted
BMCBI
2007
147views more  BMCBI 2007»
15 years 3 months ago
Statistical significance of quantitative PCR
Background: PCR has the potential to detect and precisely quantify specific DNA sequences, but it is not yet often used as a fully quantitative method. A number of data collection...
Yann Karlen, Alan McNair, Sébastien Persegu...