Sentence examples for microarray data sometimes from inspiring English sources

Meta-analysis of microarray data, sometimes combined with other types of data – proteomics, co-precipitation, literature, yeast two hybrid – has proven valuable for model organisms including bacteria [ 2], nematode [ 3], human [ 4, 5], chimpanzee [ 6], mouse [ 7], rat [ 8] and yeast [ 9- 11].

This phenomenon can be observed sometimes with the validation of microarray data by real time PCR: microarray analysis shows strong up regulation whereas PCR indicates a very low fold change like 1.5 or less.

Though many high-impact journals now mandate that all HTP data and code associated with a publication be made open-access, this requirement is not universal, and sometimes the same journal will require microarray data submission, but not proteomic data.

Microarray data indicate that most of these new genes have low-level and sometimes specific expression patterns.

Hierarchical agglomerative clustering and the computation of the NTI are advantageous compared to the following method that is sometimes used to obtain a correlation coefficient: A classifier is trained on the microarray data.

TK and RNI analyzed the microarray data.

Thus, understanding microarray data processing steps becomes critical for performing optimal microarray data analysis.

Steps 3.3 and 3.4 extracted drug microarray and disease microarray data respectively.

Fig. 2 Validation of microarray data by quantitative RT-PCR.

The center panels display light vs. dark NSF45K microarray data.

The accession number of the microarray data was GSE73814.