Ai Feedback
Exact(28)
In this work, we report the design and use of a new S. mansoni 60-mer oligonucleotide microarray platform with approximately 44,000 probes, based on all publicly available cDNA sequence data for S. mansoni and Schistosoma japonicum.
Herein, we report the development of a microarray platform with carboxyl polyethylene glycol (PEG) as a functional layer and aminated hairpin nucleic acid molecules as target-specific capture probes (CPs).
We developed a single base extension microarray platform with the goal of determining individual nucleotide frequencies at each genomic position within a complex viral population.
The Affymetrix Exon Array is a new high-density gene expression microarray platform, with over six million probes targeting all annotated and predicted exons in a genome.
Last year, Affymetrix released 'exon arrays', a high-density microarray platform with a total of ∼6.5 million probes targeting all the annotated and predicted exons in the genome.
We describe an enhanced annotation of the fathead minnow microarray platform with human gene symbols.
Similar(32)
In summary, we developed the Rice Multi-platform Microarray Search Tool to integrate data from other rice microarray platforms with those from the NSF45K array.
In the current study, microRNA microarray platforms with dynamic hybridization systems (AGL and TRY) showed relatively better results than those with static hybridization systems.
Thus, the consistency of microarray platforms with regard to multiple-class prediction discussed in this study is also of importance to the future success of microarray-based predictive models in clinical application and safety evaluation.
Early studies integrating expression and copy number data have either used cancer cell lines to identify over expressed genes [17], [18] and/or microarray platforms with limited resolution and genome coverage [19], [20].
Konstantinopoulos et al. [6] have discussed that these discrepancies might be related to the use of different microarray platforms with different normalization methods and different degree of contamination by noncancerous cells in a tumor sample, as well as differences in the patient populations under study.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com