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» Using probabilistic model checking in systems biology
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BMCBI
2006
116views more  BMCBI 2006»
15 years 7 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»
16 years 8 hour 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 7 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 1 months 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