The University of Chicago Header Logo

Connection

Robert Grossman to Neoplasms

Back to Details
This is a "connection" page, showing publications Robert Grossman has written about Neoplasms.
Robert Grossman
Connection Strength
1.994
Neoplasms
  1. Recommended Clinical Context and Patient Context Data Elements for Liquid Biopsy Data Submitted to Data Repositories and Data Commons. Clin Transl Sci. 2025 04; 18(4):e70227.
    View in: PubMed
    Score: 0.293
  2. BloodPAC Data Commons for Liquid Biopsy Data. JCO Clin Cancer Inform. 2021 04; 5:479-486.
    View in: PubMed
    Score: 0.222
  3. Pan-cancer analysis of whole genomes. Nature. 2020 02; 578(7793):82-93.
    View in: PubMed
    Score: 0.205
  4. Progress Toward Cancer Data Ecosystems. Cancer J. 2018 May/Jun; 24(3):126-130.
    View in: PubMed
    Score: 0.181
  5. Toward a Shared Vision for Cancer Genomic Data. N Engl J Med. 2016 Sep 22; 375(12):1109-12.
    View in: PubMed
    Score: 0.162
  6. The Gabriella Miller Kids First Data Resource for genomic research in pediatric cancer and congenital anomalies. Am J Hum Genet. 2026 Sep 03; 113(9):1788-1800.
    View in: PubMed
    Score: 0.080
  7. Building digital histology models of transcriptional tumor programs with generative deep learning for pathology-based precision medicine. Genome Med. 2025 08 07; 17(1):87.
    View in: PubMed
    Score: 0.075
  8. NCI Cancer Research Data Commons: Core Standards and Services. Cancer Res. 2024 May 02; 84(9):1384-1387.
    View in: PubMed
    Score: 0.069
  9. NCI Cancer Research Data Commons: Resources to Share Key Cancer Data. Cancer Res. 2024 May 02; 84(9):1388-1395.
    View in: PubMed
    Score: 0.069
  10. Challenges to Using Big Data in Cancer. Cancer Res. 2023 04 14; 83(8):1175-1182.
    View in: PubMed
    Score: 0.064
  11. Case Studies for Overcoming Challenges in Using Big Data in Cancer. Cancer Res. 2023 04 14; 83(8):1183-1190.
    View in: PubMed
    Score: 0.064
  12. 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: 0.063
  13. 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: 0.062
  14. 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: 0.057
  15. The NCI Genomic Data Commons. Nat Genet. 2021 03; 53(3):257-262.
    View in: PubMed
    Score: 0.055
  16. Linked Entity Attribute Pair (LEAP): A Harmonization Framework for Data Pooling. JCO Clin Cancer Inform. 2020 08; 4:691-699.
    View in: PubMed
    Score: 0.053
  17. 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: 0.046
  18. Data Harmonization for a Molecularly Driven Health System. Cell. 2018 08 23; 174(5):1045-1048.
    View in: PubMed
    Score: 0.046
  19. 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: 0.044
  20. 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: 0.043
  21. The NCI Genomic Data Commons as an engine for precision medicine. Blood. 2017 07 27; 130(4):453-459.
    View in: PubMed
    Score: 0.043
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.