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Similarly, our deconvolution results show only 15 X-linked genes with pachytene (D) expression, and in all these cases, except one (Gm15070, which is a hypothetical protein), the estimated expression in D is small compared to the expression in some of the other cell types.
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In the example given in Figure 2, we estimate expression in units of RPKM by quantifying reads that map with genes predicted from genomic sequence.
We present a method for estimating expression in the presence of multireads that treats mapping uncertainty in a statistically rigorous manner.
For all probesets we estimated expression level in each cell-line using the Plier Sketch algorithm and estimated detection above background probabilities using DABG [ 53].
Since the true expression levels in a simulated data set were known, we could calculate the mean squared errors of the estimated expression levels (summarized in Table 1).
We confirmed the housekeeping status of these genes, but further estimated expression stability across tissues in order to assess their potential as reference genes.
The improved reliability of RCA for estimating expression levels in different organisms and contexts thus makes this index a superior choice for undertaking and benchmarking predictions of gene expression.
Strand specific data gives more detailed and correct results than does non-stranded data as we show when estimating expression values and in assembling transcripts.
Considering the first step in estimating expression levels, we examined alternative ways of read alignment.
Thus, mRNA-seq, particularly paired-end technology, provides a high resolution in estimating expression levels of genes from highly duplicated gene families, such as Olfr and Obp genes.
(v) Estimate expression values for all transcripts in the discovered set.
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