Sentence examples for classes of tumours from inspiring English sources

Typically, the microarray cancer studies provide only a limited number of tissue samples from the specified classes of tumours or patients, whereas each tissue sample may contain the expression levels of thousands of genes.

It is extremely hard to treat due to several distinct classes of tumours that exhibit different responses to treatment and not all anticancer agents effectively give a positive response in every case [1].

Using a linear predictor, we defined two classes of tumours as 'Favourable' (n=21; 60%) and 'Unfavourable' (n=14; 40%).

However the variable glycoproteins are not expressed idiosyncratically and cell lines derived from similar classes of tumours express similar patterns of the variable glycoproteins.

When stratified by CIMP status, there was no difference in the methylation of normal mucosa between the different classes of tumours.

Supervised classification is the tool of choice to evaluate whether a group of genes can be exploited to discriminate different classes of tumours (Allison et al, 2006).

The emergence of techniques such as RNA sequencing has led to the identification of novel classes of tumour-specific RNA transcripts, such as MALAT1 (metastasis associated lung adenocarcinoma transcript 1), increased levels of which have been found in various cancerous tissues and are associated with the proliferation and metastasis (spread) of tumour cells.

These parameters also differentially shape the spatial distribution of the various classes of tumour cells.

Since we have assumed N classes of tumour cells, θ N =0.

In Figure 16 we show the differential effect of chemorepulsion on the various classes of tumour cells.

The distribution of SPF values was markedly different for the two ploidy classes of tumour, with DNA aneuploid tumours having a significantly higher average SPF.