GitHub

Transcript-Abundance-Estimation-with-the-Expectation-Maximization-Algorithm

This project applies the Expectation-Maximization (EM) algorithm to estimate the relative abundances of RNA isoforms based on RNA-seq read data. The task involved modeling how sequencing reads map to ...
IEEE

Deep Learning-Driven Uncertainty Estimation for Brain Tissue Segmentation by Integrating Expectation Maximization Algorithms

Abstract: Brain tissue segmentation performs a vital function in neuroimaging analysis, support, and monitoring of neurological diseases such as Alzheimer's disease, Parkinson's disease, and brain ...
IEEE

A Hybrid Algorithm for Estimation of the Parameters of Hidden Markov Model based Acoustic Modeling of Speech Signals using Constraint-Based Genetic Algorithm and Expectation ...

Abstract: The conventional method for estimation of the parameters of Hidden Markov Model (HMM) based acoustic modeling of speech signals uses the Expectation- Maximization (EM) algorithm. But the EM ...
Frontiers

Comparative evaluation of Ordered Subset Expectation Maximization and Bayesian Penalized Likelihood algorithms for PET/CT image reconstruction in various malignancies using

Purpose: This study compares the Ordered Subset Expectation Maximization (OSEM) and Bayesian Penalized Likelihood (BPL) algorithms for Positron Emission Tomography/Computed Tomography (PET/CT) image ...
GitHub

Releases: aliwouters/Transcript-Abundance-Estimation-with-the-Expectation-Maximization-Algorithm

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Nature

Fluorophore localization algorithms for super-resolution microscopy

The resolution of a light microscope was once thought to be limited to about half the wavelength of light 1: light waves from sources separated by less than that distance form overlapping blurs when ...