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Connection

Kyle M. Hernandez to Prognosis

This is a "connection" page, showing publications Kyle M. Hernandez has written about Prognosis.
Connection Strength

0.128
  1. Accurate and rapid prediction of tuberculosis drug resistance from genome sequence data using traditional machine learning algorithms and CNN. Sci Rep. 2022 02 14; 12(1):2427.
    View in: PubMed
    Score: 0.029
  2. Immunogenomic determinants of tumor microenvironment correlate with superior survival in high-risk neuroblastoma. J Immunother Cancer. 2021 07; 9(7).
    View in: PubMed
    Score: 0.028
  3. African Americans and European Americans exhibit distinct gene expression patterns across tissues and tumors associated with immunologic functions and environmental exposures. Sci Rep. 2021 05 10; 11(1):9905.
    View in: PubMed
    Score: 0.027
  4. Proteomics reveals NNMT as a master metabolic regulator of cancer-associated fibroblasts. Nature. 2019 05; 569(7758):723-728.
    View in: PubMed
    Score: 0.024
  5. Integrative genomics reveals hypoxia inducible genes that are associated with a poor prognosis in neuroblastoma patients. Oncotarget. 2016 Nov 22; 7(47):76816-76826.
    View in: PubMed
    Score: 0.020
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.