Yadong Wang

TL;DR: An iterative ranking-based method called CroGO2 is proposed to measure the cross-categories GO term similarities by incorporating level information of GO terms with both direct and indirect interactions in the gene co-function network.

TL;DR: PhenoSim, a new similarity measure that includes a noise reduction component to model the noisy patient phenotype data, and a path-constrained Information Content-based method for phenotype semantics similarity measurement, could effectively improve the performance of HPO-based phenotype similarity Measurement, thus increasing the accuracy of phenotype-based causative gene prediction and disease prediction.

TL;DR: A semantically integrated disease-associated database (SIDD) is developed, which integrates 18 disease- associated databases, for researchers to browse multiple types of DR-MPEs in a view and allows easy navigation for querying information through browsing a disease ontology tree or searching a disease term.

TL;DR: A framework named Gene2Function to annotate Gene Reference into Functions (GeneRIFs) was presented, in which each functional description of GeneRifs could be annotated by a text mining tool Open Biomedical Annotator (OBA), and each Entrez gene could be mapped to Human Genome Organisation Gene Nomenclature Committee (HGNC) gene symbol.

TL;DR: A new cross-category similarity measurement called CroGO is introduced by incorporating genome-specific gene co-function network data and it is shown that the measurement outperforms the existing algorithms.