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GAP integrates different biological features using a novel taxonomy-based semantic similarity measure in predicting and prioritizing high-quality putative gene associations.
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Specifically, we used a ratio of 1 positive to 10 negative examples, as this was the largest ratio for which there was no change in the estimated probability distributions for the negative class features (see section Representation of Biological Features used in the Classifier).
However, little domain-specific knowledge in terms of biological features was used for classifier construction in the previous studies [ 5].
We use probabilistic modeling approaches to build statistical models of interesting biological features, and use such models for Bayesian or likelihood-based statistical inference in large scale genome analysis and annotation.
Re-evaluating the biological features of disease using metastatic lesions has been largely individualized, although recent practice guidelines of the National Comprehensive Cancer Network recommend biopsy of metastatic sites, especially when they represent the first recurrence of disease and/or ER/PgR/HER2 status is unknown or was originally negative.
UPA and PAI-1 mRNA values were compared with clinical, histological and biological features of tumors using appropriate statistical tests.
With the large genomic data linked to phenotype and medical records, we now can not only discover interesting biological features and regulations using genomic approaches, but also translate some of the findings for clinical practice.
DiVinE is a general distributed verification environment meant to support the development of distributed enumerative model checking algorithms including probabilistic analysis features used for biological systems analysis [ 40].
The more elaborated command is features, used for retrieving annotation over a biological entity.
To verify the existence of significant associations between protein disorder and other identified biological features, we performed a multivariate investigation using the contingency analysis strategy approach.
Some composited features calculated by methods (PeC, WDC, and ION) which integrate the topological features with biological features are also used in this work.
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