cancer-immunology

[𝐧𝐚𝐭𝐮𝐫𝐞 𝐦𝐚𝐜𝐡𝐢𝐧𝐞 𝐢𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞] ImmunoStruct enables multimodal deep learning for immunogenicity prediction

Annotation of mutated peptide sequences with published or novel potential neoantigen descriptors

The AstroPath Pipeline was developed to process whole slide multiplex immunofluorescence data from microscope to database at single cell resolution.

Official repository for Characterization of tumor heterogeneity through segmentation-free representation learning on multiplexed imaging data

A collection of summaries and reflective notes from immunology courses, including innate and adaptive immunity, autoimmunity, infectious diseases, cancer immunology and immune system failures.

CRC bulk transcriptomics and tumor-immunology analysis integrating African ancestry, CMS1–4, DESeq2, xCell, CIBERSORT, and continuous ancestry gradients.

Leakage-aware, patient-level, reproducible benchmark resource for public MHC-I neoantigen predictors

scRNA-seq of ADAR1-KO melanoma TME — pDC/monocyte ISG programs, PAGA pseudotime, TCGA SKCM survival validation | Scanpy · Python

Exploratory scRNA-seq analysis of T cell transcriptional states in human lung adenocarcinoma, contextualized within the global tumor microenvironment.

Analysis code for Corvino et al. — type I interferon drives a TCR-stimulation-inert cellular state that may impede T-cell differentiation in cancer. European Journal of Immunology 2024.