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 ...
Journal of the Royal Statistical Society. Series B (Statistical Methodology), Vol. 71, No. 3 (Jun., 2009), pp. 593-613 (21 pages) We propose a generic on-line (also sometimes called adaptive or ...
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 ...
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 ...
Download PDF More Formats on IMF eLibrary Order a Print Copy Create Citation This paper shows that the Expectation-Maximization (EM) algorithm for regime-switching dynamic factor models provides ...
In accordance with general principles recommended by the International Committee for Standardization in Haematology (1982, Journal of Clinical Pathology 35, 1320-1322), we have developed statistical ...
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