Expression estimation with RNA-Seq requires the mapping of relatively short sequencing reads to a reference genome or transcript set. Because reads are generally shorter than transcripts from which they are derived, a single read may map to multiple genes and isoforms, complicating expression analyses.
Dec 18, 2009 · Abstract. Motivation: RNA-Seq is a promising new technology for accurately measuring gene expression levels. Expression estimation with RNA-Seq ...
Feb 15, 2010 · We present a generative statistical model and associated inference methods that handle read mapping uncertainty in a principled manner.
Accurate Estimation of Expression Levels of Homologous Genes in RNA-seq Experiments · Using non-uniform read distribution models to improve isoform expression ...
Aug 14, 2018 · Here we present a machine learning-based tool called GeneQC (Gene expression Quality Control), which can accurately estimate the reliability of ...
Here we present a machine learning-based tool called GeneQC (Gene expression Quality Control), which can accurately estimate the reliability of each gene's ...
Co-expression Modules (CEMs). Can use expression levels for known co-expressed genes (CEGs) to predict likely expression levels for the gene locations.
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Dec 22, 2010 · An overview of the typical RNA-seq pipeline for DE analysis is outlined in Figure 1. First, reads are mapped to the genome or transcriptome.
RNA-Seq gene expression estimation with read mapping uncertainty Available Online. Tools. QR. Export RIS. Export BibTeX. EndNote. Citation. Permalink. Print.
“RNA-Seq gene expression estimation with read mapping uncertainty”. Li, B., Ruotti, V., Stewart, R., Thomson, J., Dewey, C. Bioinformatics, 2010. Page 36 ...