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Connection

Robert Grossman to Neoplasms

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This is a "connection" page, showing publications Robert Grossman has written about Neoplasms.
Robert Grossman
Connection Strength
1.783
Neoplasms
  1. BloodPAC Data Commons for Liquid Biopsy Data. JCO Clin Cancer Inform. 2021 04; 5:479-486.
    View in: PubMed
    Score: 0.256
  2. Pan-cancer analysis of whole genomes. Nature. 2020 02; 578(7793):82-93.
    View in: PubMed
    Score: 0.236
  3. Progress Toward Cancer Data Ecosystems. Cancer J. 2018 May/Jun; 24(3):126-130.
    View in: PubMed
    Score: 0.209
  4. Toward a Shared Vision for Cancer Genomic Data. N Engl J Med. 2016 Sep 22; 375(12):1109-12.
    View in: PubMed
    Score: 0.187
  5. NCI Cancer Research Data Commons: Core Standards and Services. Cancer Res. 2024 May 02; 84(9):1384-1387.
    View in: PubMed
    Score: 0.079
  6. NCI Cancer Research Data Commons: Resources to Share Key Cancer Data. Cancer Res. 2024 May 02; 84(9):1388-1395.
    View in: PubMed
    Score: 0.079
  7. Challenges to Using Big Data in Cancer. Cancer Res. 2023 04 14; 83(8):1175-1182.
    View in: PubMed
    Score: 0.074
  8. Case Studies for Overcoming Challenges in Using Big Data in Cancer. Cancer Res. 2023 04 14; 83(8):1183-1190.
    View in: PubMed
    Score: 0.074
  9. Contrived Materials and a Data Set for the Evaluation of Liquid Biopsy Tests: A Blood Profiling Atlas in Cancer (BLOODPAC) Community Study. J Mol Diagn. 2023 03; 25(3):143-155.
    View in: PubMed
    Score: 0.073
  10. BLOODPAC: Collaborating to chart a path towards blood-based screening for early cancer detection. Clin Transl Sci. 2023 01; 16(1):5-9.
    View in: PubMed
    Score: 0.071
  11. The impact of site-specific digital histology signatures on deep learning model accuracy and bias. Nat Commun. 2021 07 20; 12(1):4423.
    View in: PubMed
    Score: 0.065
  12. The NCI Genomic Data Commons. Nat Genet. 2021 03; 53(3):257-262.
    View in: PubMed
    Score: 0.064
  13. Linked Entity Attribute Pair (LEAP): A Harmonization Framework for Data Pooling. JCO Clin Cancer Inform. 2020 08; 4:691-699.
    View in: PubMed
    Score: 0.061
  14. Cancer expression quantitative trait loci (eQTLs) can be determined from heterogeneous tumor gene expression data by modeling variation in tumor purity. Genome Biol. 2018 09 11; 19(1):130.
    View in: PubMed
    Score: 0.054
  15. Data Harmonization for a Molecularly Driven Health System. Cell. 2018 08 23; 174(5):1045-1048.
    View in: PubMed
    Score: 0.053
  16. Developing Cancer Informatics Applications and Tools Using the NCI Genomic Data Commons API. Cancer Res. 2017 11 01; 77(21):e15-e18.
    View in: PubMed
    Score: 0.050
  17. Discovering novel pharmacogenomic biomarkers by imputing drug response in cancer patients from large genomics studies. Genome Res. 2017 10; 27(10):1743-1751.
    View in: PubMed
    Score: 0.050
  18. The NCI Genomic Data Commons as an engine for precision medicine. Blood. 2017 07 27; 130(4):453-459.
    View in: PubMed
    Score: 0.049
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.