
Contents `mle_analysis_koff.m` Estimates koff from dwell time data using an exponential decay MLE model. `mle_censoredvsuncensored.m` Compares MLE fits of uncensored vs. right-censored dwell time data. `LTR_for_mle_.m` Performs Likelihood Ratio Test comparing two separate vs. shared koff values. Features Fits single-exponential decay models using MLE.Supports right-censored dwell time data (for photobleaching-limited recordings).Computes standard errors and 95% confidence intervals for koff.Performs Likelihood Ratio Test to assess whether datasets differ significantly. Requirements MATLAB R2014b or newerStatistics and Machine Learning Toolbox
This repository contains MATLAB scripts for analyzing Single Moleclule Pulldown data (SiMPull)- with these scripts, single-molecule dwell time data is used to estimate dissociation rate constants (**koff**) using **Maximum Likelihood Estimation (MLE)**. It also includes tools to compare koff values between datasets using a **Likelihood Ratio Test (LRT)**.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
