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Process Pathway Inference via Time Series Analysis | | Chris Wiggins
; Ilya Nemenman
; | | Date: |
12 Jun 2002 | | Journal: | Experim. Mech., 43(3), 2003 | | Subject: | Biological Physics; Data Analysis, Statistics and Probability; Genomics; Quantitative Methods | physics.bio-ph physics.data-an q-bio.GN q-bio.QM | | Abstract: | Motivated by recent experimental developments in functional genomics, we construct and test a numerical technique for inferring it process pathways, in which one process calls another process, from time series data. We validate using a case in which data are readily available and formulate an extension, appropriate for genetic regulatory networks, which exploits Bayesian inference and in which the present--day undersampling is compensated for by prior understanding of genetic regulation. | | Source: | arXiv, physics/0206031 | | Services: | Forum | Review | PDF | Favorites | |
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