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Found 9 papers, 1 papers with code
Competition for binding targets results in paradoxical effects for simultaneous activator and repressor action -- Extended Version
The paper first reviews the motivating cancer biology work, and then describes a proposed synthetic construct.
A necessary condition for non-monotonic dose response, with an application to a kinetic proofreading model -- Extended version
Steady state non-monotonic ("biphasic") dose responses are often observed in experimental biology, which raises the control-theoretic question of identifying which possible mechanisms might underlie such behaviors.
Properties of Immersions for Systems with Multiple Limit Sets with Implications to Learning Koopman Embeddings
Linear immersions (or Koopman eigenmappings) of a nonlinear system have wide applications in prediction and control.
Why should autoencoders work?
Deep neural network autoencoders are routinely used computationally for model reduction.
On the ISS Property of the Gradient Flow for Single Hidden-Layer Neural Networks with Linear Activations
Recent research in neural networks and machine learning suggests that using many more parameters than strictly required by the initial complexity of a regression problem can result in more accurate or faster-converging models -- contrary to classical statistical belief.
Epigenetic factor competition reshapes the EMT landscape
In such models, epigenetic factors are usually proposed to act on the chromatin regions directly involved in the expression of relevant genes.
Edge Selection in Bilinear Dynamical Networks
We develop some basic principles for the design and robustness analysis of a continuous-time bilinear dynamical network, where an attacker can manipulate the strength of the interconnections/edges between some of the agents/nodes.
Mediating Ribosomal Competition by Splitting Pools
The competition for resources between host and circuit genes can be ameliorated by splitting the ribosome pool by use of orthogonal ribosomes, where the circuit genes are exclusively translated by mutated ribosomes.
Analysis of a reduced model of epithelial-mesenchymal fate determination in cancer metastasis as a singularly-perturbed monotone system
Tumor metastasis is one of the main factors responsible for the high fatality rate of cancer.
