Here, we refrain from translating the discriminant values to binary classifications, but, instead, we used a previously published algorithm to estimate the posterior probability of a gene membership to each GO‐BP category.
PSB wrote the manuscript and was involved in the conception and design of the cross-platform experiments for translating the microarray 'intrinsic' classifications into qRT-PCR assays.
Intuitively, the basic idea is to translate the imbalanced classification problem into a partial ranking problem.
Second, the number of genes involved in the classifiers ranges from tens to hundreds; interpreting, validating, implementing and translating these classification rules to the clinician represent a daunting task.
As part of a large project aimed at translating the emerging gene expression based classification of carcinoma into an IHC-based classification, we had screened a large number of novel polyclonal affinity-purified antibodies for association with clinical outcome and selected thirty-seven furtherther study in an independent cohort assembled at the Cleveland Clinic Foundation (CCF)[ 16].
By translating the NR-IQA problem into classification problem, the predicted parts and distorted parts are utilized to form features and the differences between them are identified by softmax classifier.
Future developments of this research work aim at translating the validated patterns into a classification score, using an approach for making complex statistical models useful to practitioners and researchers, such as a circular ruler 34 or points system, 35 which was used for example to develop the widely used Framingham risk scores.
Translating Japan, Translating the West.
Two major challenges in using genomics for breast cancer diagnostics are the ability to find robust classifications that maintain prognostic significance across different patient populations, and the ability to effectively translate those classifications into the clinical laboratory.
We have endeavored to translate the gene expression-based classification of carcinoma into immunohistochemistry (IHC) reagents that can be used to discover and validate the relationship between tumor classification and clinically significant phenotypes [ 8].
