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The prediction of migration time of electroosmotic flow (EOF) marker was achieved by applying artificial neural networks (ANN) model based on principal component analysis (PCA) and standard normal distribution simulation to the input variables.
Transformants were selected and maintained on SD plates (SD broth with 2% (w/v) purified agar) with appropriate auxotrophic supplements, and recycling of the URA3 marker was achieved by plating cells on SD plates containing 0.1% (w/v) 5-fluoroorotic acid (5-FOA) and uridine (25 μg/ml).
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That this collapsing of an entire people into some exaggerated markers was achieved so effortlessly is what hurts the most.
Detection of the described markers was achieved with FAM/MGB probes (Applied Biosystems): Nkx2.5 (Myh6657783_m1), Myh6 (Mm00440354_m1), Brachyury (Mm00436877_m1).
Successful amplification of all five markers was achieved in only 51% of samples.
Amplification of the five markers was achieved in all 10 MSS tumour samples and matching normal DNA.
Amplification for all five markers was achieved in 23 out of 25 (92%) of the normal tissue samples.
Successful amplification of the five markers was achieved for both the tumour and normal DNA in all 15 cases.
When optimized conditions were applied to hESCs, expansion of hESCs expressing pluripotent cell markers was achieved, providing important proof-of-principle data.
Further reduction of the number of markers was achieved by taking only a few representatives in those cases where multiple markers showed nearly identical patterns over the complete data set (strongly suggesting partial overlap or close linkage in the genome).
Complete response with normal radiology and tumour markers was achieved in 11 out of 16 patients (69%) – after chemotherapy alone in 2 patients (13%) and following surgery in 9 patients (56%).
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