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Reverse causal reasoning: applying qualitative causal knowledge to the interpretation of high-throughput data
2013
BMC Bioinformatics
Gene 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. Results: We present a detailed description of
doi:10.1186/1471-2105-14-340
pmid:24266983
pmcid:PMC4222496
fatcat:2om5axzmnjbvzoja6gc2626ski