Reverse causal reasoning: applying qualitative causal knowledge to the interpretation of high-throughput data

@inproceedings{Catlett2012ReverseCR,
  title={Reverse causal reasoning: applying qualitative causal knowledge to the interpretation of high-throughput data},
  author={Natalie L. Catlett and Anthony J. Bargnesi and Stephen Ungerer and Toby Seagaran and William Ladd and Keith O. Elliston and Dexter Pratt},
  booktitle={BMC Bioinformatics},
  year={2012}
}
BackgroundGene expression profiling and other genome-scale measurement technologies provide comprehensive information about molecular changes resulting from a chemical or genetic perturbation, or disease state. A critical challenge is the development of methods to interpret these large-scale data sets to identify specific biological mechanisms that can provide experimentally verifiable hypotheses and lead to the understanding of disease and drug action.ResultsWe present a detailed description… CONTINUE READING
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