Cathy H. Wu

The paper describes the Common Fund Data Ecosystem (CFDE), which integrates NIH Common Fund data resources to enable discovery, analysis, and collaboration across heterogeneous datasets.

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.

TnCentral is a database and web portal for prokaryotic transposable elements, providing annotated entries, search tools, and downloadable software for TE analysis.

piNET is a web platform for analyzing and visualizing proteomics data, including PTMs, by connecting them to biological knowledge and LINCS signatures.

This study investigates the effects of elevated ammonia on genome instability in CHO cells, identifying de novo mutations and microsatellite instability as biomarkers for genome stability.

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

The paper maps UniProtKB protein annotations to the human genome and demonstrates their utility in interpreting genetic variants.

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