Abstract As molecular and cellular technologies have advanced, the need to analyze and interpret the resulting vast and multi-modal data into actionable intelligence has become a rate-limiting factor in scientific advancement. While traditional knowledgebase-pathway tools and LLM-based AI tools provide a degree of supp...
R. Barve, Chad E. Storer, Wayne D. Hoxsie et al.· Nucleic Acids Research· 0 citations
This study comprehensively profiled relapsed SCLC samples along with patient-matched treatment-naive samples using whole-exome, whole-genome, and RNA-sequencing to describe the molecular landscape of relapsed SCLC to identify potential novel pathways for additional functional validation and eventually novel therapeutic...
Sid Devarakonda, My H. Hoang, S. Sankararaman et al.· Journal of Thoracic Oncology· 0 citations
Abstract Summary The druggable genome encompasses the genes that are known or predicted to interact with drugs. The Drug-Gene Interaction Database (DGIdb) provides an integrated resource for discovering and contextualizing these interactions, supporting a broad range of research and clinical applications. DGIdb is curr...
Lars Schimmelpfennig, M. Cannon, Quentin Cody et al.· Bioinformatics· 0 citations
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