Cancer Systems Immunology Lab (carmonalab)

Cancer Systems Immunology Lab

carmonalab

Geek Repo

At Ludwig Cancer Research Lausanne and Department of Oncology, University of Lausanne & Swiss Institute of Bioinformatics

Location:Lausanne, Switzerland

Home Page:https://agora-cancer.ch/laboratory/carmona-lab

Twitter:@carmonation

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Cancer Systems Immunology Lab's repositories

ProjecTILs

Interpretation of cell states using reference single-cell maps

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UCell

Gene set scoring for single-cell data

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scGate

marker-based purification of cell types from single-cell RNA-seq datasets

STACAS

R package for semi-supervised single-cell data integration

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SignatuR

A database of useful gene signatures for single-cell analysis

ProjecTILs_CaseStudies

A repository of case studies using ProjecTILs

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TILPRED

Tumor-Infiltrating CD8 Lymphocytes states prediction

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GeneNMF

Methods to perform NMF on single-cell data

Language:RLicense:GPL-3.0Stargazers:6Issues:2Issues:5

HiTME

High-resolution Tumor Micro-Environment cell type classification and compositional analysis for scRNA-seq

scGate_models

Cell type gating models for scGate

scIntegrationMetrics

R implementation of integration metrics for single-cell data

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human_CD8_TIL_CaseStudies

Projection example using a human CD8 TIL reference map.

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Tcell_clonal_analysis

Reproducible code for reference-based T cell clonal analysis

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ProjecTILs.demo

A repository for testing the functionalities of ProjecTILs

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Course_scRNA-seq_Exercise1

This is the first exercise for the bioinformatics scRNA-seq course

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GeneNMF.demo

Demos and applications for NMF on single-cell data

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HiTME_CaseStudies

Repository of case studies using HiTME

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scib-pipeline

Snakemake pipeline that works with the scIB package to benchmark data integration methods.

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scib-pipeline-2

Snakemake pipeline that works with the scIB package to benchmark data integration methods.

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scRepertoire

A toolkit for single-cell immune profiling

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seurat-wrappers

Community-provided extensions to Seurat

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STACAS.demo

Integrating scRNA-seq data using STACAS

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