Aug 2025 – present
Semi-supervised annotation approaches for scRNA-seq data
Addressing the reliability, robustness and interpretability of single-cell RNA-seq annotation pipelines with semi-supervised learning. The resulting package, scAICME, performs adaptive marker-guided annotation on top of the scverse ecosystem and extends to spatial transcriptomics, and the manuscript, "scAICME: Adaptive Marker-Guided Annotation of Single-Cell RNA-seq with Applications to Spatial Transcriptomics", is in preparation.
with Prof. Raghunath Chatterjee (ISI Kolkata), Dr. Jayant Jha (ISI Kolkata)