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|Alternative name||Module-Based Prediction|
Publication for Module-Based Prediction
Comprehensive literature review and statistical considerations for microarray meta analysis
[…] zation techniques to solve or alleviate such a problem, including cross-platform normalization (XPN) (), distance-weighted discrimination (DWD) (), ratio-adjusted gene-wise normalization (rGN) () and module-based prediction (MBP) (). In these approaches, data are normalized across studies so the prediction model can be applied across studies (). Rank-based robust approaches have also been used (,) […]
Combining modularity, conservation, and interactions of proteins significantly increases precision and coverage of protein function prediction
[…] y using only orthology, the overall precision remains below that of most PPI-based methods .In this paper, we describe a novel algorithm for protein function prediction that combines link-based and module-based prediction with orthology, thus overcoming the respective limitations of each individual approach. The key to our method is to analyze proteins within modules that are defined by evolutio […]
Prioritizing functional modules mediating genetic perturbations and their phenotypic effects: a global strategy
[…] ld potentially be applied to a variety of fields. For example, it might be interesting to see how it helps identify differentially expressed gene sets in microarray data analysis. More importantly, a module-based prediction strategy will benefit the study of human diseases by transferring phenotypic data learned from other organisms to human beings. This has significant implications for the treatm […]
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