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So far, gene expression profiling by microarrays has been employed by three independent research groups in order to elucidate the genes and the underlying molecular mechanisms that govern T-cell infiltration in ovarian cancer [ 16– 16].
There is thus an ongoing debate as to how far gene expression results are affected by various degrees of degradation [ 3- 6] and to what extent of degradation the tissue samples with poor RNA quality can be included in an analysis.
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Thus far the gene expression analysis has been based on gene lists with differentially expressed single genes (where the focus is often on the most highly differentially expressed genes or on genes implicated beforehand).
So far, most gene expression studies have been done using whole tumor tissue.
So far, most gene expression profiling studies have focused on the identification of prognostic signatures.
So far, analyzing gene expression across different microarray platforms remains a challenge.
So far, the gene expression profiles of venom glands from four species [ 10- 12] have been reported using EST sequencing.
Thus far, AGL6 gene expression was observed only in reproductive structures, but our analyses indicate additional expression in vegetative shoots after the core eudicot duplication.
So far, global gene expression studies in animal models of sepsis have been limited and restricted to rodents[ 2, 6, 16].
Due to limitations in the current techniques for single-cell analysis and available data, we have so far accumulated gene expression data obtained from tissues or multiple cells.
Thus far, standardizing gene expression data is the most mature and hence, most successful compared to the standardization of the other data types.
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