K. Vijay‐Shanker

KSMoFinder predicts kinase-phosphosite relationships by integrating protein context and motif composition using a knowledge graph embedding approach, outperforming existing methods.

eMIND automatically extracts variant impacts in Alzheimer's disease from literature, achieving 0.84 recall and 0.94 precision.

The paper uses topic modeling and document classification to analyze CHO bioprocess literature, identifying overlaps between human-labeled categories and machine-generated topics.

emiRIT compiles miRNA information from literature using text mining, providing curated relations between miRNAs and genes, diseases, and biological processes.

The paper uses distant supervision to augment small manually annotated datasets for relation extraction, improving model performance after filtering noisy data.

eGARD extracts associations between genomic anomalies and drug responses from text with high precision and recall.