Article

Cell cycle time series gene expression data encoded as cyclic attractors in Hopfield systems

2017-07-31

Abstract excerpt

Modern time series gene expression and other omics data sets have enabled unprecedented resolution of the dynamics of cellular processes such as cell cycle and response to pharmaceutical compounds. In anticipation of the proliferation of time series data sets in the near future, we use the Hopfield model, a recurrent neural network based on spin glasses, to model the dynamics of cell cycle in HeLa (human cervical...

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Literature Corpus work: 2014c1b8-e151-5aee-b54d-0b717eaead08
DOI: 10.1101/170027

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