… Gene co-expression networks can be used to associate genes of unknown function with
biological processes, to prioritize candidate disease genes or to discern transcriptional …

… In the following, we will review some commonly used feature selection and classification (or
prediction) strategies in fMRI functional connectivity based brain disorder studies. Several …

… Indeed, text-mining of such biomedical literature was among the first approaches to
disease-gene prediction. This type of information, jointly with the functional information that we shall …

… To the best of our knowledge, this is the first application of structured sparse methods in
the context of disease prediction using functional connectomes. Additional discussions of …

… In this article we describe a tool for predicting whether human SNPs are or are not disease-…
ways, and our defined functional GO score. The efficiency of the prediction is quite high as …

… the definition of the ASA PS classification. Thus, we hypothesize that incorporating function
capacity into the traditional ASA classification will better predict perioperative risk for both 30-…

… In this study, we performed an evaluation of eight tools for prediction of the effects of mutations
on protein function and combined six of them into the consensus classifier PredictSNP (for …

… A robust estimate of the performance of a feature for a particular functional class was
calculated as the median test set Pearson correlation coefficient of the five neural networks in the …

… the effect class we may be over-estimating functional changes… to disease provide much
stronger evidence for functional … , disease variants are clearly strongly enriched in functional …

… help to predict human disease genes. We also investigated other factors affecting the mode
of evolution in the disease genes: Ka/Ks is significantly affected by protein function, mode of …