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The results from this study indicated that: 1) in the case when the pair-wise expression ratio transformation achieves lower CV and higher correlation to tissue phenotypes, a better classification of tissue type will follow.
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Although the prevalence of alternative splicing in cancer genomes has been discussed in the literature [ 18- 20], and it has been shown that use of splice forms provides better classification of normal and cancerous prostate tissue, it is not clear whether the use of genome-wide isoform level gene-expression profiles can provide a better global discriminative signature for cancer and normal cells.
New histological markers are necessary for better classification of the different MDSC subtypes in tumour tissue.
There is no single gene discriminating between the different types of DCIS, but it has to be investigated whether a combination of protein stainings in a patient's tissue can assist in better classification of DCIS.
As we learn more and more about the heterogeneity of various cancers, having the ability to examine tumor tissues for molecular characteristics will allow for better classification of disease and therefore, clearer associations regarding etiologic factors.
This has led to better classification of types of HPE, identification of newer subtypes, and understanding of the pathogenesis.
We hypothesized that the large number of confirmed genetic variants enables (better) classification of CD patients.
Better classification of QI interventions could help.
LEAPdb would also contribute to a better classification of LEAP.
This was mainly due to better classification of nonsurvivors into lower-risk classes.
Better classification of QI can alleviate this problem and help to build generalisable knowledge.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com