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Работы, на которые ссылается эта работа

Работ: 47

Работа: Integrated Analysis of Glycosylation and Inflammation-Related Genes for Prognostic Risk Modeling and Immunotherapy Response Prediction in Gastric Cancer

  1. KEGG: Kyoto Encyclopedia of Genes and Genomes

    Minoru Kanehisa

    Статья2000Цитирований: 10
    ABI
  2. clusterProfiler: an R Package for Comparing Biological Themes Among Gene Clusters

    Guangchuang Yu, Li-Gen Wang, Yanyan Han +1

    Статья2012Цитирований: 8
    ABI
  3. limma powers differential expression analyses for RNA-sequencing and microarray studies

    Matthew E. Ritchie, Belinda Phipson, Di Wu +4

    Статья2015Цитирований: 5
    ABI
  4. Visualizing and interpreting cancer genomics data via the Xena platform

    Mary J. Goldman, Brian Craft, Mim Hastie +9

    Другое2020Цитирований: 3
    ABI
  5. Signatures of T cell dysfunction and exclusion predict cancer immunotherapy response

    Peng Jiang, Shengqing Gu, Deng Pan +12

    Статья2018Цитирований: 3
    ABI
  6. NCBI GEO: archive for functional genomics data sets—update

    Tanya Barrett, Stephen E. Wilhite, Pierre Ledoux +14

    Статья2012Цитирований: 3
    ABI
  7. CellMiner: a relational database and query tool for the NCI-60 cancer cell lines

    Uma Shankavaram, Sudhir Varma, David W. Kane +5

    Статья2009Цитирований: 2
    ABI
  8. Upregulated INHBA expression is associated with poor survival in gastric cancer

    Quan Wang, Yugang Wen, Dapeng Li +5

    Статья2010Цитирований: 2
    ABI
  9. GEOquery: a bridge between the Gene Expression Omnibus (GEO) and BioConductor

    Sean Davis, Paul S. Meltzer

    Статья2007Цитирований: 2
    ABI
  10. Gene Expression Signature–Based Prognostic Risk Score in Gastric Cancer

    Y. Choi, Jae Yun Lim, Jae‐Ho Cheong +13

    Статья2011Цитирований: 2
    ABI
  11. Receiver Operating Characteristic (ROC) Curve: Practical Review for Radiologists

    Seong Ho Park, Jin Mo Goo, Chan-Hee Jo

    Обзорная статья2004Цитирований: 2
    ABI
  12. Thioredoxin and thioredoxin-interacting protein as prognostic markers for gastric cancer recurrence

    Jae Yun Lim

    Статья2012Цитирований: 2
    ABI
  13. A practical guide to understanding Kaplan‐Meier curves

    Jason T. Rich, J. Gail Neely, Randal C. Paniello +3

    Обзорная статья2010Цитирований: 2
    ABI
  14. TCGAbiolinks: an R/Bioconductor package for integrative analysis of TCGA data

    Antonio Colaprico, Tiago C. Silva, Catharina Olsen +10

    Статья2015Цитирований: 2
    ABI
  15. Clinical and genomic landscape of gastric cancer with a mesenchymal phenotype

    Sang Cheul Oh, Bo Hwa Sohn, Jae‐Ho Cheong +35

    Статья2018Цитирований: 2
    ABI
  16. Maftools: efficient and comprehensive analysis of somatic variants in cancer

    Anand Mayakonda, De‐Chen Lin, Yassen Assenov +2

    Статья2018Цитирований: 2
    ABI
  17. CNS metastasis in ROS1+ NSCLC: An urgent call to action, to understand, and to overcome

    Sai‐Hong Ignatius Ou, Viola W. Zhu

    Обзорная статья2019Цитирований: 2
    ABI
  18. Statistical predictions with glmnet

    Solveig Engebretsen, Jon Bohlin

    Другое2019Цитирований: 2
    ABI