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The suitability of binding chemistries for microarrays was evaluated by specificity, signal, and inter- and intra-slide precision and ranked accordingly.
The significance level achieved with Actichip microarrays was evaluated by analysing the Log2 ratios from replicated experiments using the Significance Analysis of Microarrays algorithm (SAM; [ 31]) in Microsoft Excel (addin vs 2.21).
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Besides common laser scanning for fluorescence detection, S-layer based microarrays were evaluated with a compact, low cost platform for direct fluorescence imaging based on surface plasmon enhanced fluorescence excitation.
Statistical samplings of each printed lot of microarrays were evaluated for quality and consistency before use in experiments.
FOG-2 transcript levels determined by microarrays were evaluated for the same 251 tumours.
Five independent and deidentified clinical cohorts of breast cancer tissues, represented as formalin-fixed and paraffin-embedded whole tissue sections or tissue microarrays, were evaluated.
All patient tumours and tissue microarrays were evaluated and graded by a pathologist according to established guidelines (Epstein et al, 2006).
Whole-tissue sections and two tissue microarrays were evaluated, the largest containing more than 1000 tumours, the second with multiple tissue punches taken from the same patient representing different tumour areas.
The quality of the fluorescent spots on the microarray was evaluated and recorded as present or absent.
The microarray was evaluated for its ability to capture three different strains of influenza A virus, two H1N1, A/Brisbane/59/2007 and A/Solomon Islands/3/2006 and one H3N2, A/Aichi/2/1968.
In this proof of principle study, gene expression microarray was evaluated as a single platform test in the differential diagnosis of common lymphoma subtypes and reactive lymphadenopathy (RL) in lymph node biopsies.
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