Sentence examples for microarray platforms different from inspiring English sources

Similar to other microarray platforms, different probes on an Affymetrix tiling array usually behave differently.

Owing to the underlying heterogeneity among included studies, such as differences in the tumor of origins (oral, pharynx, or larynx), multiple microarray platforms, different analytical approaches taken, and diverse endpoints, we sought to examine the validity of three staged classification of the HNSCC transcriptome.

Most of the gene sets in the study were developed from microarray platforms different from Stanford 43k cDNA array (see Table 1).

These discrepancies in the identified expression profiles may be due to technical reasons, including the use of various microarray platforms, different tissue collection methods, and numerous analytical algorithms [7].

The data showed great consistency in gene expression measurements across different microarray platforms, different technologies and test sites.

This lack of gene overlap in the two signatures, which were designed to assess the same risk, may reflect different microarray platforms, different techniques and different experimental conditions.

However, it is worthwhile noting that integrating microarray datasets from different studies is not so simple due to the different microarray platforms across different datasets, different experimental protocols, and different preprocessing methods.

The reference study and validation study were performed in different centers by different investigators, using different microarray platforms with different probe content.

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.

Possible explanations for these differences are analysis of different cell types, use of different microarray platforms and different methods of statistical analysis.

Thus, our method of outcome prediction for two independent groups of patients provided an accurate and precise estimate of clinical outcomes that worked on microarray data sets generated using different microarray platforms and different cohorts of patients treated at different clinical institutions.