ArticleJournal of computational biology : a journal of computational molecular cell biology2011
Mass conservation and inference of metabolic networks from high-throughput mass spectrometry data.
Article in Journal of computational biology : a journal of computational molecular cell biology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed.
- Metabolic network discovery by top-down and bottom-up approaches and paths for reconciliation.Frontiers in bioengineering and biotechnology · 2014Review
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3 authors.
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Abstract
We present a step towards the metabolome-wide computational inference of cellular metabolic reaction networks from metabolic profiling data, such as mass spectrometry. The reconstruction is based on identification of irreducible statistical interactions among the metabolite activities using the ARACNE reverse-engineering algorithm and on constraining possible metabolic transformations to satisfy the conservation of mass. The resulting algorithms are validated on synthetic data from an abridged computational model of Escherichia coli metabolism. Precision rates upwards of 50% are routinely observed for identification of full metabolic reactions, and recalls upwards of 20% are also seen.
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Registered trials
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