SCRAM
Hybrid cell annotation of tumor and non-tumor states from Patch-seq and scRNA-seq data, designed to resolve complex and hybrid cellular identities in brain tumor ecosystems.
Read paper →Publications
Selected publications and methods from the Serin Lab are listed below. For a complete and up-to-date publication record, please visit our Google Scholar profile.
COORS
A computational framework for identifying developmental-like cell states in medulloblastoma, glioma, and diffuse midline glioma using developmental human brain references.
Read paper →CLIPPR
Integrative cancer subtyping that combines bulk transcriptomic models, single-cell features, and RNA-inferred copy-number signals to improve classification for precision oncology.
Read paper →CaSpER
A signal processing framework for identifying and visualizing focal and large-scale CNV events from bulk and single-cell RNA sequencing data.
Read paper →XCVATR
A method for identifying local enrichment of expressed variants within transcriptomic embeddings in bulk and single-cell RNA-seq datasets.
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