Obtaining the optimal solution for the aforementioned objective function becomes increasingly challenging as the dimensionality of the data exceeds three. The core principle of the ...

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 ...

Haplotype inference is an indispensable technique in medical science, especially in genome-wide association studies. Although the conventional method of inference using the expectation-maximization ...

Abstract: In this paper, we develop a novel statistical detection algorithm following similar principles to that of expectation maximization (EM) algorithm. Our goal is to develop an iterative ...

An illustration of a magnifying glass. An illustration of a magnifying glass.

The evolution of DNA sequences can be described by discrete state continuous time Markov processes on a phylogenetic tree. We consider neighbor-dependent evolutionary models where the instantaneous ...

The purpose of this paper is to propose a new algorithm based on stochastic expectation maximization (SEM) to deal with the problem of unobserved values when multiple interactions in a linear ...