MLE and LRT Analysis for Single-Molecule koff Estimation
Description
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)**.
Notes
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 newer
Statistics and Machine Learning Toolbox
Files
Files
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