ReviewBiophysical journal2016
A Primer on the Bayesian Approach to High-Density Single-Molecule Trajectories Analysis.
Review in Biophysical journal, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Multiple data set Bayesian analysis synergistically boosts ITC parameter precision.Biophysical journal · 2026Article
- Improving parameter inference by resolving Bayesian prior ambiguity via multi-dataset analysis: Application to isothermal titration calorimetry.bioRxiv : the preprint server for biology · 2025Article
- Confinement energy landscape classification reveals membrane receptor nano-organization mechanisms.Biophysical journal · 2024Article
- Article
- SMAUG: Analyzing single-molecule tracks with nonparametric Bayesian statistics.Methods (San Diego, Calif.) · 2021Article
- Bayesian Inference: The Comprehensive Approach to Analyzing Single-Molecule Experiments.Annual review of biophysics · 2021Review
- DNA replication:Computational and structural biotechnology journal · 2021Review
- Genuage: visualize and analyze multidimensional single-molecule point cloud data in virtual reality.Nature methods · 2020Article
- Monitoring HIV-1 Assembly in Living Cells: Insights from Dynamic and Single Molecule Microscopy.Viruses · 2019Review
- Single molecule localisation microscopy reveals how HIV-1 Gag proteins sense membrane virus assembly sites in living host CD4 T cells.Scientific reports · 2018Article
- Variational Algorithms for Analyzing Noisy Multistate Diffusion Trajectories.Biophysical journal · 2018Article
- Errors in Energy Landscapes Measured with Particle Tracking.Biophysical journal · 2018Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
Tracking single molecules in living cells provides invaluable information on their environment and on the interactions that underlie their motion. New experimental techniques now permit the recording of large amounts of individual trajectories, enabling the implementation of advanced statistical tools for data analysis. In this primer, we present a Bayesian approach toward treating these data, and we discuss how it can be fruitfully employed to infer physical and biochemical parameters from single-molecule trajectories.
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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.