ArticleACS omega2021
Real-Time Detection of State Transitions in Stochastic Signals from Biological Systems.
Article in ACS omega, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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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.
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.
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Who cites it
9 citing papers in PubMed.
- Single-molecule readout of reversible nanoswitches enables continuous monitoring of low biomarker concentrations.Nature communications · 2026Article
- Understanding Fast and Slow Signal Changes in a Competitive Particle-Based Continuous Biosensor.Analytical chemistry · 2025Article
- Continuous Biosensor Based on Particle Motion: How Does the Concentration Measurement Precision Depend on Time Scale?ACS sensors · 2024Article
- Rate-Engineered Plasmon-Enhanced Fluorescence for Real-Time Microsecond Dynamics of Single Biomolecules.Nano letters · 2024Article
- Molecular Origins of Long-Term Changes in a Competitive Continuous Biosensor with Single-Molecule Resolution.ACS sensors · 2024Article
- High-Throughput Single-Molecule Sensors: How Can the Signals Be Analyzed in Real Time for Achieving Real-Time Continuous Biosensing?ACS sensors · 2023Article
- Real-Time Immunosensor for Small-Molecule Monitoring in Industrial Food Processes.Analytical chemistry · 2023Article
- Reversible Immunosensor for the Continuous Monitoring of Cortisol in Blood Plasma Sampled with Microdialysis.ACS sensors · 2022Article
- Sensing Methodology for the Rapid Monitoring of Biomolecules at Low Concentrations over Long Time Spans.ACS sensors · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Robust analysis of signals from stochastic biomolecular processes is critical for understanding the dynamics of biological systems. Measured signals typically show multiple states with heterogeneities and a wide range of state lifetimes. Here, we present an algorithm for robust detection of state transitions in experimental time traces where the properties of the underlying states are
Identifiers
What OpenQuestion holds
Registered trials
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.