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TargetSeeker-MS is a Bayesian Inference approach for drug target discovery, using protein fractionation coupled to mass spectrometry. It identifies proteins that are statistically significantly enriched via generating a noise-model using Bayesian Inference, which are measured with high reproducibility across a set of replicates.
proteomicsyates/TargetSeeker-MS
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TargetSeeker-MS is a Bayesian Inference approach for drug target discovery, using protein fractionation coupled to mass spectrometry. It identifies proteins that are statistically significantly enriched via generating a noise-model using Bayesian Inference, which are measured with high reproducibility across a set of replicates.
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