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> -wrap-foot> is is well known that results from microarray data analysis may depend on the chosen normalization method (cf. Bolstad et al., 2003).
Some conclude from the data that microarray results are sufficiently comparable across platforms [ 1, 2].
A subset of genes was validated by qRT-PCR and results were correlated well with microarray data indicating that microarray results provided an accurate report of transcript level.
Hence, parallel analysis was performed using the microarray expression data, to verify that results derived from MPSS data are of real biological meanings.
In accordance with the microarray data, the results showed that miR-139-5p miR-139-5p miR-139-5pe than 2-fold in 73.8% of CRCs compared wash NCTs (P < 0.0001, Fig. 1A).
If single phenotypically identical cells are very similar at the transcriptional level, we would expect that the simulated microarray data would approximate results produced from real expression data.
First results from tiling microarray data show that a large number of genes are potentially differentially regulated (JK Colbourne, personal communication).
Microarray data revealed that deficiency of Cbl-b resulted in differential expression of genes involved in apoptosis evasion, tumor suppression and cell survival in UV-exposed skin.
Finally, microarray data suggests that artemisinic acid itself may evoke osmotic stress resulting from lipophilic weak acid stress in the engineered yeast.
Experimental results on colon microarray data show that the proposed method is superior to other classifiers.
Recent evidence from microarray data argues that much of the malignant potential of neoplastic cells is a result of either somatic initiating mutations or constitutional polymorphisms present in normal tissue.
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