We showed in our 5-fold cross validation experiment that our method successfully improved prediction accuracy and coverage by integrating five types of genome-wide data.
By integrating five types of data, we assign plausible GO terms to 463 proteins among 1481 currently unannotated yeast Saccharomyces cerevisiae proteins (complete list available in Supporting Information, Table S5).
It works by integrating three types of information: general pathway-specific keywords, POS tags and gene/protein recognition results.
In this study, we therefore developed a systems biology based approach by integrating three types of omics data to identify common pathways in glioma.
In this paper, we aimed to analyze the molecular basis of glioma at systems biology level, by integrating three types of omics data, including gene expression microarray, MicroRNA and ChIP-seq data sets.
Next, we developed an algorithm to identify breast cancer subtype-specific driver-networks by integrating two different genome-scale data types (mRNA expression and CGH data) on this a priori defined network space.
The flat, bowed, box, sled, and delta require a rigid framework fitted with a sail material, as does the compound, which is formed by integrating two or more of the above types to form one kite.
We started by assembling a list of known TGF β regulated genes by integrating three kinds of data type: protein-protein interactions, microarrays and ChIP-Chip analysis.
Next, to assess the individual and combinatorial predictive power of the top-ranked features, we developed a supervised machine learning workflow by integrating six state-of-the-art machine learning models and several types of features.
