Seungbyn Baek

The paper develops scNET to infer cell-type-specific co-expression networks from single-cell data, enhancing the human interactome for improved disease gene prediction.

The paper uses single-cell multi-omics to identify immunosuppressive factors in ALK-positive lung cancer that contribute to poor immunotherapy responses.

This study uses single-cell sequencing to identify cellular and molecular differences in the kidneys and pancreases of insectivorous and frugivorous bats, linking them to diabetes-related mechanisms.