Aug 2025 – present
scAICME: Adaptive marker-guided annotation of single-cell and spatial RNA-seq data
A two-stage semi-supervised framework for marker-guided annotation of single-cell RNA-seq data. Canonical marker panels give candidate labels with confidence scores, the high-confidence cells then train an ensemble of supervised classifiers that labels the rest by consensus, and the framework extends to spatial transcriptomics. It is implemented as a Python package built on Scanpy, and a manuscript on it is in preparation.
with Prof. Raghunath Chatterjee (ISI Kolkata), Dr. Jayant Jha (ISI Kolkata)