Evidence map›Paper›PMID 42136668›Full record

ArticleFrontiers in immunology2026

Using PyBioNetFit to leverage qualitative and quantitative data in biological model parameterization and uncertainty quantification.

Ely F Miller, Abhishek Mallela, Jacob Neumann, Yen Ting Lin, William S Hlavacek, Richard G Posner

Abstract read
In one paragraph

Article in Frontiers in immunology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Ely F Miller *Department of Biological Sciences, Northern Arizona University, Flagstaff, AZ, United States.
Abhishek Mallela *Center for Nonlinear Studies, Los Alamos National Laboratory, Los Alamos, NM, United States.
Jacob NeumannDepartment of Chemistry and Chemical Biology, Cornell University, Ithaca, NY, United States.
Yen Ting LinCenter for Nonlinear Studies, Los Alamos National Laboratory, Los Alamos, NM, United States.
William S HlavacekCenter for Nonlinear Studies, Los Alamos National Laboratory, Los Alamos, NM, United States.
Richard G PosnerDepartment of Biological Sciences, Northern Arizona University, Flagstaff, AZ, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Data generated in studies of cellular regulatory systems are often qualitative. For example, measurements of signaling readouts in the presence and absence of mutations may reveal a rank ordering of responses across conditions but not the precise extents of mutation-induced differences. Qualitative data are often ignored by mathematical modelers or are considered in an

Indexed as

Models, BiologicalSoftwareAnimalsComputer SimulationHumansSignal TransductionSystems BiologyUncertaintybayesian inferencecurve-fittingMarkov chain Monte Carlo (MCMC)maximum likelihood estimation (MLE)profile likelihood

Identifiers

PMID42136668
PMCPMC13168053

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.