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» Microarray results: how accurate are they
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CDC
2009
IEEE
179views Control Systems» more  CDC 2009»
14 years 2 months ago
Bayesian network approach to understand regulation of biological processes in cyanobacteria
— Bayesian networks have extensively been used in numerous fields including artificial intelligence, decision theory and control. Its ability to utilize noisy and missing data ...
Thanura R. Elvitigala, Abhay K. Singh, Himadri B. ...
BMCBI
2010
167views more  BMCBI 2010»
13 years 10 months ago
Inference of sparse combinatorial-control networks from gene-expression data: a message passing approach
Background: Transcriptional gene regulation is one of the most important mechanisms in controlling many essential cellular processes, including cell development, cell-cycle contro...
Marc Bailly-Bechet, Alfredo Braunstein, Andrea Pag...
BMCBI
2010
113views more  BMCBI 2010»
13 years 10 months ago
Class prediction for high-dimensional class-imbalanced data
Background: The goal of class prediction studies is to develop rules to accurately predict the class membership of new samples. The rules are derived using the values of the varia...
Rok Blagus, Lara Lusa
ESORICS
2012
Springer
12 years 8 days ago
Boosting the Permissiveness of Dynamic Information-Flow Tracking by Testing
Tracking information flow in dynamic languages remains an open challenge. It might seem natural to address the challenge by runtime monitoring. However, there are well-known funda...
Arnar Birgisson, Daniel Hedin, Andrei Sabelfeld
BMCBI
2010
95views more  BMCBI 2010»
13 years 10 months ago
An effective approach for identification of in vivo protein-DNA binding sites from paired-end ChIP-Seq data
Background: ChIP-Seq, which combines chromatin immunoprecipitation (ChIP) with high-throughput massively parallel sequencing, is increasingly being used for identification of prot...
Congmao Wang, Jie Xu, Dasheng Zhang, Zoe A. Wilson...