Sentence examples for estimating the transcript from inspiring English sources

Based on these results, we believe that our PDEGEM can improve the accuracy in modeling and estimating the transcript abundance and isoform expression in RNA-Seq data.

Presumably, the higher the correlation is, the more accurate the method is in estimating the transcript abundance from RNA-Seq reads.

Furthermore, accurately estimating the transcript-level expression for all genes of all samples in a study may lead to improvements in molecular based diagnosis or prognosis tools, as well as in clustering of samples, e.g for cancer subtype discovery.

The mapped reads from two biological replicates were subsequently analyzed by Cufflinks (version 2.1.1) to estimate the transcript abundance [ 75], and the expression level of each transcript was indicated as a FPKM value.

We are able to estimate the transcript abundance of and the differential expression (DE) between the two parent-specific alleles in the rice hybrids.

Using ΔCt analysis, normalized data were used to estimate the transcript copy number in infected mosquitoes.

The same procedure was used to estimate the transcript abundance of each gene lineage in Z. mays.

To estimate the transcript level of each gene, a background value was obtained by addition of the average background value to 2 background standard deviations.

First, four methods (RPKM, Poisson-Linear, MART, and PDEGEM) were chosen to estimate the transcript abundance of the four RNA-Seq datasets in Dataset 3.

We introduced RNA-Skim, a lightweight method that can rapidly and efficiently estimate the transcript abundance levels in RNA-Seq data.

High-quality RNA-seq reads obtained from filtering were aligned to the transcripts to estimate the transcript abundance using RSEM (v1.2.4) (RNA-Seq by Expectation Maximization) with the parameter of minimum and maximum fragment length of 200 and 300 respectively [ 56].