Evidence map›Paper›PMID 22254830›Full record

ArticleAnnual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference2011

Robustness of inverse perturbation for discrete event control.

Nidhal Bouaynaya, Roman Shterenberg, Dan Schonfeld

Abstract read
In one paragraph

Article in Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Nidhal BouaynayaDept of Systems Engineering, University of Arkansas at Little Rock, USA.
Roman Shterenberg
Dan Schonfeld

Funding

Mimimal-Perturbation Dynamic Control of the Melanoma Gene Regulatory NetworkR01GM096191 · NIGMS · UNIVERSITY OF ILLINOIS AT CHICAGO · PI SCHONFELD, DAN · 2010 to 2013
$1.1M
NIGMS NIH HHS R01 GM096191NIGMS NIH HHS R01GM096191
6 · The paper itself

Abstract

We study the robustness of the inverse perturbation solution in discrete-time systems modeled by homogeneous Markov chains. We cast the optimal inverse perturbation control as a strictly convex optimization problem, which admits a unique global solution. We show that the optimal inverse perturbation control is robust to estimation errors in the original network. The derived results are applied to the Human melanoma gene regulatory network, where the aim is to force the network to converge to a desired steady-state distribution of gene regulation.

Indexed as

Gene Expression Regulation, NeoplasticModels, BiologicalModels, StatisticalComputer SimulationGene Expression ProfilingHumansMarkov ChainsMelanomaNeoplasm ProteinsNeoplasm Proteins

Identifiers

PMID22254830
PMCPMC3495572

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.