Concurrently, advances in approximate nonparametric maximum likelihood have led to flexible convex optimisation algorithms for fitting multivariate mixing distributions, thereby broadening the ...

The data-aimed maximum-likelihood (ML) signal-to-noise ratio (SNR) estimation algorithm (DAML), decision-directed ML SNR estimation algorithm (DDML) and an iterative ML SNR estimation algorithm for ...

It is critical for inertial navigation systems (INS) to obtain accurate attitude data, as the accuracy of the inertial guidance system directly affects the accuracy of attitude estimation. Firstly, an ...

Consumer packaged goods giant Conagra Brands (CAG) will release its earnings report for its fiscal fourth quarter on June 10.

Alignment and sequencing errors are a major concern in molecular evolution, and this valuable study represents a welcome improvement for genome-wide scans of positive selection. This new method seems ...

Based on several lines of interesting data, the authors conclude that FMRP, though associated with stalled ribosomes, does not determine the position on the mRNAs at which ribosomes stall. Although ...

BACKGROUND: Evaluation of whether dyspnea has a cardiac cause is essential. Guidelines from 2016 were reported to result in a ...

This repository implements the methods presented in the paper "EM Algorithm Based on Alternative Likelihood". It includes: Distribution Models Negative Binomial Distribution Mixture Negative Binomial ...

This article summarizes the findings from the APC Benefit project, which evaluates the impact of a proprietary advanced ...

Unsupervised clustering of E2F-associated differentially expressed genes The “ConsensusClusterPlus” R package, which is based on the k-means machine learning algorithm, was used to perform ...