Sentence examples for supervised copy from inspiring English sources

Supervised copy number analysis is useful for correcting the various types of noise and artifacts that can be present in DNA copy number profiles.

- Supervised and semi-supervised training – We distinguish between supervised and semi-supervised training.

Then, we used supervised classification to impute copy numbers of specific KIR genes from SNP signals.

However, supervised class comparison identified copy number loss of chromosomal arm 1p to be associated with CHEK2*1100delC status.

Supervised class comparison of the copy number profiles of low TIL CHEK2*1100delC (n = 14) and BRCAX (n = 34) breast cancers identified a small number of genomic regions with differential CNAs (Fig.  3).

To address this hypothesis, we used 180 diverse tumors and performed supervised analyses of their tumor DNA copy number landscape and identified subtype-specific copy number events.

Meanwhile, we used Nsp arrays and supervised data on different numbers of DNA copies to determine copy numbers in more extended representations such as '3 or 4' copies or '>4' copies (10) [ambiguity in the 'or' representation was resolved by use of the phasing tool (10) in a subsequent procedure].

When we used copy number data, our supervised analysis of the classical subclass revealed EGFR as the top ranking candidate, a result that is concordant with the TCGA study.

Also supervised data analysis, i.e. testing copy number status of all genomic loci, did not reveal any significant differences in DNA copy number changes between intestinal and diffuse gastric cancers from UK patients.

We used supervised signal-intensity data on one to five copies for the signal intensities of CNV segments and determined the integer copy numbers of the segments (Materials and Methods and Supplementary Material, Table S2).

Instead, we used the qPCR copy numbers as training data to perform supervised classification with knn on the SNP signals, which does not explicitly rely on the identification of distinct clusters.