“AGAC on mutation information bridging” is published online. Congrats!

This work shows how AGAC serves for LOF/GOF mutation retrieval and Gene–Disease Association prediction. Link to the paper. Abstract Bridging heterogeneous mutation data fills in the gap between various data categories and propels discovery of disease-related genes. It is known that genome-wide association study (GWAS) infers significant mutation associations that link genotype and phenotype. However, due toContinueContinue reading ““AGAC on mutation information bridging” is published online. Congrats!”

Congrats Xuan for an paper-acceptance in JMIR medical informatics

Congratulations to Xuan for the acceptance of the “pathway enrichment” paper. In this research, Xuan developed a set of new metrics to evaluate the effective of pathway enrichment in terms of text mined vital gene set. This research reflect an interesting view, from which BioNLPers could observe how the literature-mined entities contribute to the downstreamContinueContinue reading “Congrats Xuan for an paper-acceptance in JMIR medical informatics”