Siddhant Sanghi

SigSpace uses an LLM to interpret drug response signatures from cancer cell lines, generating summaries that outperform random baselines in matching to drug identity or mechanism of action.

CELLECTION predicts emergent phenotypes from single-cell populations by associating subgroups with different phenotypes across diverse tasks.

The paper introduces RNA3DB, a dataset of structured RNAs designed for training and benchmarking deep learning models, with non-redundant sequence and structure splits to improve generalization.