XSLiuLab

XSLiuLab

Geek Repo

Research group led by Xue-Song Liu in ShanghaiTech. University

Location:China

Home Page:http://liuxslab.cn/

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XSLiuLab's repositories

Workshop

课题组每周研讨会

tumor-immunogenicity-score

TIGS (Tumor Immunogenicity Score) project https://doi.org/10.7554/eLife.49020

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Seq2Neo

Seq2Neo: a comprehensive pipeline for cancer neoantigen immunogenicity prediction

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XSLab-docs

上科大刘雪松课题组基因组学分析传承与分享知识库

PC_CNA_signature

Prostate Cancer Alteration Signature Analysis https://xsliulab.github.io/PC_CNA_signature/

Immunoediting

Pan-cancer quantification of neoantigen-mediated immunoediting in cancer evolution

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ecDNA_immune

Extrachromosomal DNA is associated with decreased immune cell infiltration and antigen presentation, represents a potential cancer immune evasion mechanism

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Noncoding-code-2020

CDC20 noncoding project

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TLimmuno2

TLimmuno2: predicting MHC class II antigen immunogenicity through transfer learning

neoantigen_depletion

neoantigen depletion checking and detection

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Pan-cancer_CNA_signature

https://xsliulab.github.io/Pan-cancer_CNA_signature/

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Neodb

Shiny Web Server and Database for Neoantigen discovery

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HRDCNA

A robust homologous recombination deficiency predictor based on copy number alteration features

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hypoxia_target

Deep learning reveals the metabolic vulnerability of hypoxic tumor cells and the critical function of FLAD1 mediated tumor hypoxia adaption

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InterpretationAnalysisHRDCNA

An interpretation analysis of copy number alteration features in pan-cancer homologous recombination deficiency prediction and biology

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FoLST2021-PancancerCNAsig-Poster

A poster showing Pancancer CNA signature project at FoLST2021, ShanghaiTech University.https://xsliulab.github.io/FoLST2021-PancancerCNAsig-Poster/

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Pep2TCR

Pep2TCR: a novel deep learning method for CD4 TCR specificity prediction

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CancerBiology

Support materials for 《Cancer Biology》,Shanghaitech University

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single-cell-CNA-signature

This repository provides the analysis reports, code and data for readers who are insterest in this project and make it easier to reproduce the whole analysis procedure.

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