Connection

Co-Authors

This is a "connection" page, showing publications co-authored by YILING LU and JOHN N WEINSTEIN.
Connection Strength

1.524
  1. Comprehensive molecular profiling of lung adenocarcinoma. Nature. 2014 Jul 31; 511(7511):543-50.
    View in: PubMed
    Score: 0.484
  2. Comprehensive molecular characterization of clear cell renal cell carcinoma. Nature. 2013 Jul 04; 499(7456):43-9.
    View in: PubMed
    Score: 0.450
  3. Integrated genomic characterization of endometrial carcinoma. Nature. 2013 May 02; 497(7447):67-73.
    View in: PubMed
    Score: 0.223
  4. The Cancer Genome Atlas Pan-Cancer analysis project. Nat Genet. 2013 Oct; 45(10):1113-20.
    View in: PubMed
    Score: 0.057
  5. RPPA SPACE: an R package for normalization and quantitation of Reverse-Phase Protein Array data. Bioinformatics. 2022 11 15; 38(22):5131-5133.
    View in: PubMed
    Score: 0.054
  6. Predicting high-risk endometrioid carcinomas using proteins. Oncotarget. 2018 Apr 13; 9(28):19704-19715.
    View in: PubMed
    Score: 0.039
  7. Explore, Visualize, and Analyze Functional Cancer Proteomic Data Using the Cancer Proteome Atlas. Cancer Res. 2017 11 01; 77(21):e51-e54.
    View in: PubMed
    Score: 0.038
  8. Comprehensive Molecular Characterization of Papillary Renal-Cell Carcinoma. N Engl J Med. 2016 Jan 14; 374(2):135-45.
    View in: PubMed
    Score: 0.033
  9. Comprehensive, Integrative Genomic Analysis of Diffuse Lower-Grade Gliomas. N Engl J Med. 2015 Jun 25; 372(26):2481-98.
    View in: PubMed
    Score: 0.032
  10. Development of a robust classifier for quality control of reverse-phase protein arrays. Bioinformatics. 2015 Mar 15; 31(6):912-8.
    View in: PubMed
    Score: 0.031
  11. A pan-cancer proteomic perspective on The Cancer Genome Atlas. Nat Commun. 2014 May 29; 5:3887.
    View in: PubMed
    Score: 0.030
  12. TCPA: a resource for cancer functional proteomics data. Nat Methods. 2013 Nov; 10(11):1046-7.
    View in: PubMed
    Score: 0.029
  13. Integrative analysis of proteomic signatures, mutations, and drug responsiveness in the NCI 60 cancer cell line set. Mol Cancer Ther. 2010 Feb; 9(2):257-67.
    View in: PubMed
    Score: 0.022
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.