ArticleBiophysical journal2015
Analyzing single-molecule time series via nonparametric Bayesian inference.
Article in Biophysical journal, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.
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Who cites it
33 citing papers in PubMed.
- Beyond the Single Molecule: Multiplexed Methods in Force Spectroscopy.Annual review of biophysics · 2026Review
- A cautious user's guide in applying HMMs to physical systems.The Journal of chemical physics · 2025Article
- Single-Molecule Techniques for Probing the Conformation, Dynamics and Interactions of Intrinsically Disordered Proteins.Biophysics reviews · 2025Article
- Bayesian analysis and efficient algorithms for single-molecule fluorescence data and step counting.Biophysical journal · 2025Article
- Bayesian Nonparametrics for FRET using Realistic Integrative Detectors.bioRxiv : the preprint server for biology · 2025Article
- Bayesian analysis and efficient algorithms for single-molecule fluorescence data and step counting.bioRxiv : the preprint server for biology · 2025Article
- Using Bayesian priors to overcome non-identifiablility issues in Hidden Markov models.bioRxiv : the preprint server for biology · 2025Article
- An accurate probabilistic step finder for time-series analysis.Biophysical journal · 2024Article
- Extract latent features of single-particle trajectories with historical experience learning.Biophysical journal · 2023Article
- Article
- An accurate probabilistic step finder for time-series analysis.bioRxiv : the preprint server for biology · 2023Article
- Resolving Molecular Heterogeneity with Single-Molecule Centrifugation.Journal of the American Chemical Society · 2023Article
- Permissive and nonpermissive channel closings in CFTR revealed by a factor graph inference algorithm.Biophysical reports · 2022Article
- Article
- Molecular electronics sensors on a scalable semiconductor chip: A platform for single-molecule measurement of binding kinetics and enzyme activity.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- Joint Detection of Change Points in Multichannel Single-Molecule Measurements.The journal of physical chemistry. B · 2021Article
- Unsupervised selection of optimal single-molecule time series idealization criterion.Biophysical journal · 2021Article
- SMAUG: Analyzing single-molecule tracks with nonparametric Bayesian statistics.Methods (San Diego, Calif.) · 2021Article
- Article
- Residence time analysis of RNA polymerase transcription dynamics: A Bayesian sticky HMM approach.Biophysical journal · 2021Article
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Authors and funding
3 authors.
Funding
Abstract
The ability to measure the properties of proteins at the single-molecule level offers an unparalleled glimpse into biological systems at the molecular scale. The interpretation of single-molecule time series has often been rooted in statistical mechanics and the theory of Markov processes. While existing analysis methods have been useful, they are not without significant limitations including problems of model selection and parameter nonidentifiability. To address these challenges, we introduce the use of nonparametric Bayesian inference for the analysis of single-molecule time series. These methods provide a flexible way to extract structure from data instead of assuming models beforehand. We demonstrate these methods with applications to several diverse settings in single-molecule biophysics. This approach provides a well-constrained and rigorously grounded method for determining the number of biophysical states underlying single-molecule data.
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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.