Aditya Lahiri

MOSAIC learns graph node embeddings by analyzing dominant spectral components of diffusion operators, outperforming existing methods in biomedical graph tasks.

The paper introduces BIFO, an ontology that specifies biologically admissible directed transformations in biomedical knowledge graphs to enable meaningful signal propagation.

The paper analyzes splicing in 729 pediatric brain tumors, identifies splicing-defined subgroups, and highlights CLK1 exon 4 as an oncofetal event linked to tumor prognosis.

This paper uses a Boolean Network model to evaluate metabolic and immune inhibitors for colorectal cancer liver metastasis, identifying effective drug combinations and potential improvements in treatment.

The paper introduces OpenPedCan, a harmonized multi-omic dataset of pediatric cancer patients, providing integrated genomic, transcriptomic, and proteomic data for research and clinical applications.

This study uses Boolean networks to identify optimal drug targets in TNBC stem cell pathways, finding that inhibiting STAT3, GLI, and NF-κB can prevent relapse and that drug combinations are more effective.