Reconstructing gene networks: what are the limits?
Author:
Affiliation:
1. Department of Mathematics, Imperial College London, London SW7 2AZ, U.K.
2. Institute of Child Health, University College London, 30 Guilford Street, London WC1N 1EH, U.K.
Abstract
Publisher
Portland Press Ltd.
Subject
Biochemistry
Link
https://portlandpress.com/biochemsoctrans/article-pdf/31/6/1519/537757/bst0311519.pdf
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1. Reconstruction of dynamic regulatory networks reveals signaling-induced topology changes associated with germ layer specification;Stem Cell Reports;2022-02
2. PEPN-GRN: A Petri net-based approach for the inference of gene regulatory networks from noisy gene expression data;PLOS ONE;2021-05-14
3. Reconstruction of dynamic regulatory networks reveals signaling-induced topology changes associated with germ layer specification;2021-05-07
4. Reverse engineering gene regulatory networks by modular response analysis – a benchmark;Essays in Biochemistry;2018-10-12
5. Learning transition models of biological regulatory and signaling networks from noisy data;Proceedings of the 3rd IKDD Conference on Data Science, 2016;2016-03-13
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