Publications

24 results for Natasha Mulligan

GENET: AI-Powered Interactive Visualization Workflows to Explore Biomedical Entity Networks
- - Bc Kwon
  - Natasha Mulligan
  - et al.
- 2025
- ISMB 2025
Designing a Multi-Agent AI Framework to Mine Scientific Literature and Experiment Datasets to Support and Enrich Single-Cell Analyses
- - Joao Bettencourt-Silva
  - Natasha Mulligan
  - et al.
- 2025
- ISMB 2025
LEOPARD: Linking Experimental Observations with Predictive Algorithms to reveal Response Dynamics for the single cell
- - Vibha Anand
  - Akira Koseki
  - et al.
- 2025
- ISMB 2025
Enhancing foundation models for scientific discovery via multimodal knowledge graph representations
- - Vanessa Lopez
  - Lam Thanh Hoang
  - et al.
- 2025
- Journal of Web Semantics
Evaluating the Predictive Features of Person-Centric Knowledge Graph Embeddings: Unfolding Ablation Studies
- - Christos Theodoropoulos
  - Natasha Mulligan
  - et al.
- 2024
- MIE 2024
Cross Dataset Verification of Cell Type Annotation using a Transcriptomic Biomedical Foundation Model: Inflammatory Bowel Disease Use Case
- - Akihiro Kosugi
  - Vibha Anand
  - et al.
- 2024
- ISMB 2024
Contextualizing Single-Cell Analyses: An AI Pipeline for Evidence Search from Literature and Gene Databases
- - Joao Bettencourt-Silva
  - Natasha Mulligan
  - et al.
- 2024
- ISMB 2024
Improving Health-Status Classification for Epithelial Cells of Inflammatory Bowel Disease using a Transcriptomic Biomedical Foundation Model
- - Toshiya Iwamori
  - Vibha Anand
  - et al.
- 2024
- ISMB 2024
Identifying Putative Gene Markers: A Biomedical Foundation Model-based Approach for Cell Type Annotation
- - Uri Kartoun
  - Akira Koseki
  - et al.
- 2024
- ISMB 2024
Causes in Clinical Trials Failure of Inflammatory Bowel Disease (IBD): An Artificial Intelligence-assisted review
- - Tesfaye Yadete
  - Kingsley Njoku
  - et al.
- 2024
- DDW 2024