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» Using probabilistic model checking in systems biology
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BMCBI
2006
116views more  BMCBI 2006»
15 years 6 months ago
Optimized mixed Markov models for motif identification
Background: Identifying functional elements, such as transcriptional factor binding sites, is a fundamental step in reconstructing gene regulatory networks and remains a challengi...
Weichun Huang, David M. Umbach, Uwe Ohler, Leping ...
CLADE
2008
IEEE
16 years 1 months ago
SWARM: a scientific workflow for supporting bayesian approaches to improve metabolic models
With the exponential growth of complete genome sequences, the analysis of these sequences is becoming a powerful approach to build genome-scale metabolic models. These models can ...
Xinghua Shi, Rick Stevens
SIGMOD
2010
ACM
260views Database» more  SIGMOD 2010»
15 years 11 months ago
Towards proximity pattern mining in large graphs
Mining graph patterns in large networks is critical to a variety of applications such as malware detection and biological module discovery. However, frequent subgraphs are often i...
Arijit Khan, Xifeng Yan, Kun-Lung Wu
BMCBI
2006
110views more  BMCBI 2006»
15 years 6 months ago
Modelling the network of cell cycle transcription factors in the yeast Saccharomyces cerevisiae
Background: Reverse-engineering regulatory networks is one of the central challenges for computational biology. Many techniques have been developed to accomplish this by utilizing...
Shawn Cokus, Sherri Rose, David Haynor, Niels Gr&o...
QEST
2006
IEEE
16 years 17 days ago
Causality, Responsibility, and Blame: A Structural-Model Approach
This talk will provide an overview of work that I have done with Hana Chockler, Orna Kupferman, and Judea Pearl [1, 2, 10, 9] on defining notions such as causality, explanation, ...
Joseph Y. Halpern