Apr 19, 2011 · In this paper we present a novel expectation-maximization algorithm for inference of isoform- and gene-specific expression levels from RNA-Seq data.
Estimation of alternative splicing isoform frequencies from RNA-Seq ...
pubmed.ncbi.nlm.nih.gov › ...
In this paper we present a novel expectation-maximization algorithm for inference of isoform- and gene-specific expression levels from RNA-Seq data.
In this paper we present a novel expectation-maximization algorithm for inference of alternative splicing isoform frequencies from high-throughput ...
In this paper we present a novel expectation-maximization algorithm for inference of alternative splicing isoform frequencies from high-throughput transcriptome ...
Thus, the ability to reconstruct full length isoform sequences and accurately estimate their frequencies is critical for understanding gene functions and ...
A novel expectation-maximization algorithm for inference of isoform- and gene-specific expression levels from RNA-Seq data, referred to as IsoEM, ...
The results show that IsoEM algorithm significantly outperforms existing methods of isoform and gene expression level estimation from RNA-Seq data. Further-.
Oct 22, 2024 · In this paper we present a novel expectation-maximization algorithm for inference of isoform- and gene-specific expression levels from RNA-Seq ...
Massively parallel whole transcriptome sequencing, commonly referred as RNA-Seq, is quickly becoming the technology of choice for gene expression profiling.
In this short report, we present a framework that generalizes the formula metric to arbitrary classes of splicing events.