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The current perspective considers cancer as selection biased differential fitness between heterogeneous populations of clonal lineages that arises as a function of genetic mutation and epigenetic alterations [3].
Our TbT method was originally designed to normalize tag count data for various scenarios including such biased differential expression.
The overall trend is the same as that of the accuracies shown in the left panels: the iterative TbT approach can outperform the original TbT approach when the degree of biased differential expression is high (PA > 50%).
Some groups recently reported that over-representation of genes with higher expression in one of the samples, i.e., biased differential expression, has a negative impact on data normalization and consequently can lead to biased estimates of true differentially expressed genes (DEGs) [ 15, 16].
Although the negative impact derived from such biased differential expression gradually increases according to the increased proportion of DEGs in the data, our strategy can eliminate some of those DEGs before data normalization (Tables 1, 2, and 3).
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Oligonucleotide probes overlapping SNPs are biased towards differential expression, leading to overestimation of differential expression.
Diabodies also elicited biased or differential activation of signaling pathways and gene expression profiles compared to EPO.
(b) High-bias differential resistance versus voltage at 2, 5, and 10 K.
Calculated low bias differential conductance for these structures confirms this semiconductor-like character.
In Fig. 5 the low bias differential conductance of the two clusters ideally contacted with two gold leads is shown.
Electron transport calculations within the Landauer formalism confirm these indications, showing semiconductor-like low bias differential conductance for these structures.
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