Blog
About

102
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      A Scheme for Molecular Computation of Maximum Likelihood Estimators for Log-Linear Models

      Preprint

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          We propose a scheme for computing Maximum Likelihood Estimators for Log-Linear models using reaction networks, and prove its correctness. Our scheme exploits the toric structure of equilibrium points of reaction networks. This allows an efficient encoding of the problem, and reveals how reaction networks are naturally suited to statistical inference tasks. Our scheme is relevant to molecular programming, an emerging discipline that views molecular interactions as computational primitives for the synthesis of sophisticated behaviors. In addition, such a scheme may provide a template to understand how biochemical signaling pathways integrate extensive information about their environment and history.

          Related collections

          Author and article information

          Journal
          1506.03172

          Molecular biology, Neural & Evolutionary computing, Statistics theory

          Comments

          Comment on this article