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This is a "connection" page, showing publications co-authored by YILING LU and REHAN AKBANI.
YILING LU
Connection Strength
3.443
REHAN AKBANI
  1. Generation of Raw RPPA Data and Their Conversion to Analysis-Ready Data. Adv Exp Med Biol. 2019; 1188:165-180.
    View in: PubMed
    Score: 0.662
  2. Using reverse-phase protein arrays as pharmacodynamic assays for functional proteomics, biomarker discovery, and drug development in cancer. Semin Oncol. 2016 08; 43(4):476-83.
    View in: PubMed
    Score: 0.555
  3. Comprehensive molecular profiling of lung adenocarcinoma. Nature. 2014 Jul 31; 511(7511):543-50.
    View in: PubMed
    Score: 0.485
  4. Comprehensive molecular characterization of clear cell renal cell carcinoma. Nature. 2013 Jul 04; 499(7456):43-9.
    View in: PubMed
    Score: 0.451
  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: 0.216
  6. Analytical Platforms 3: Processing Samples via the RPPA Pipeline to Generate Large-Scale Data for Clinical Studies. Adv Exp Med Biol. 2019; 1188:113-147.
    View in: PubMed
    Score: 0.165
  7. A comprehensive comparison of normalization methods for loading control and variance stabilization of reverse-phase protein array data. Cancer Inform. 2014; 13:109-17.
    View in: PubMed
    Score: 0.124
  8. A pan-cancer proteomic perspective on The Cancer Genome Atlas. Nat Commun. 2014 May 29; 5:3887.
    View in: PubMed
    Score: 0.120
  9. The Cancer Genome Atlas Pan-Cancer analysis project. Nat Genet. 2013 Oct; 45(10):1113-20.
    View in: PubMed
    Score: 0.115
  10. Integrated genomic characterization of endometrial carcinoma. Nature. 2013 May 02; 497(7447):67-73.
    View in: PubMed
    Score: 0.112
  11. A protein expression atlas on tissue samples and cell lines from cancer patients provides insights into tumor heterogeneity and dependencies. Nat Cancer. 2024 Oct; 5(10):1579-1595.
    View in: PubMed
    Score: 0.061
  12. Tumor-intrinsic SIRPA promotes sensitivity to checkpoint inhibition immunotherapy in melanoma. Cancer Cell. 2022 11 14; 40(11):1324-1340.e8.
    View in: PubMed
    Score: 0.054
  13. Large-Scale Characterization of Drug Responses of Clinically Relevant Proteins in Cancer Cell Lines. Cancer Cell. 2020 12 14; 38(6):829-843.e4.
    View in: PubMed
    Score: 0.047
  14. TCPA v3.0: An Integrative Platform to Explore the Pan-Cancer Analysis of Functional Proteomic Data. Mol Cell Proteomics. 2019 08 09; 18(8 suppl 1):S15-S25.
    View in: PubMed
    Score: 0.043
  15. 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
  16. Characterization of Human Cancer Cell Lines by Reverse-phase Protein Arrays. Cancer Cell. 2017 02 13; 31(2):225-239.
    View in: PubMed
    Score: 0.036
  17. Multilevel Genomics-Based Taxonomy of Renal Cell Carcinoma. Cell Rep. 2016 Mar 15; 14(10):2476-89.
    View in: PubMed
    Score: 0.034
  18. 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
  19. 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
  20. 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
  21. TCPA: a resource for cancer functional proteomics data. Nat Methods. 2013 Nov; 10(11):1046-7.
    View in: PubMed
    Score: 0.029
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.