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 ...

An algorithm for estimating haplotypes associated with several quantitative phenotypes is proposed. The concept of a receiver operating characteristic (ROC) curve was introduced, and a linear ...

Abstract: This letter proposes a low-complexity off-grid inverse-free sparse Bayesian learning (OG-IFSBL) algorithm for OTFS channel estimation that avoids computationally prohibitive matrix ...

This paper shows that the Expectation-Maximization (EM) algorithm for regime-switching dynamic factor models provides satisfactory performance relative to other estimation methods and delivers a good ...

You can create a release to package software, along with release notes and links to binary files, for other people to use. Learn more about releases in our docs.

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 ...

Influence maximization is the problem of selecting top k seed nodes in a social network to maximize their influence coverage under certain influence diffusion models. In this paper, we propose a novel ...