Sentence examples for microarray dataset where from inspiring English sources

We purposefully used a microarray dataset where patients received no adjuvant systemic therapy so as not to confound the survival data with the use of chemotherapeutics or estrogen receptor antagonists.

We further demonstrate the usefulness of our method on a microarray dataset, where we obtain meaningful results.

The microarray datasets, where the tissue samples represent the samples from cancerous (malignant) and non-cancerous (benign) cells, the classification of them will result in binary cancer classification.

Feature selection is critical when LDA is applied to microarray datasets where the number of genes (p) is distinctly larger than the number of samples (n) because overfitting can easily occur.

Here we verified these data using independent expression microarray datasets where collectively these findings support the general concept that MIF is differentially expressed between non-malignant and malignant lesions with increased expression during melanoma progression.

We also checked enrichment analysis results in the TCGA and EGA microarray datasets, where we found that 24 of the total 28 CEPs (86%) are confirmed by at least one other data set and 15 of them are confirmed in both (Table  3).

We explore the consistency of RT-PCR expression data with microarray expression by utilizing a dataset where both RT-PCR and microarray profiling data is available for the same miRNA samples.

As part of a larger effort towards discovering novel biomarkers for ecological risk assessment of military lands, we have developed a 15208-oligonucleotide E. fetida array, and generated a large-scale microarray dataset from a laboratory study where earthworms (E. fetida) were exposed to various concentrations of TNT or RDX for various lengths of time in soil, mimicking field exposure scenarios.

In order to assess the scalability of our method to higher numbers of variables, we subsequently conducted experiments on publicly available microarray datasets (Table 1) where dimensionality was increased between two and three orders of magnitude compared to the proteomic datasets described above.

A DNA microarray dataset is generally in the form of a matrix where rows correspond to genes and columns correspond to conditions, or vice versa.

Each individual is represented by a binary string of fixed length n+ m, where n, m is the number of genes, conditions of the microarray dataset, respectively.