Tag Archives: Mixture Models

Accuracy of transcript quantification with RNA-Seq is negatively affected by positional fragment bias. Researchers at Lexogen GmbH introduce Mix2 (rd. “mixquare”), a transcript quantification method which uses a mixture of probability distributions to model and thereby neutralize the effects of positional ...

Several methods have been developed to identify differential correlation (DC) between pairs of molecular features from -omics studies. Most DC methods have only been tested with microarrays and other platforms producing continuous and Gaussian-like data. Sequencing data is in the ...

A team led by researchers at Ohio State have developed a model-based Bayesian inference to screen for differentially expressed genes based on RNA-seq data. RNA-seq is a high-throughput next-generation sequencing application that can be used to measure the expression of ...