Connection

David Gutman to Genomics

This is a "connection" page, showing publications David Gutman has written about Genomics.
Connection Strength

0.916
  1. Predicting cancer outcomes from histology and genomics using convolutional networks. Proc Natl Acad Sci U S A. 2018 03 27; 115(13):E2970-E2979.
    View in: PubMed
    Score: 0.148
  2. Predicting clinical outcomes from large scale cancer genomic profiles with deep survival models. Sci Rep. 2017 09 15; 7(1):11707.
    View in: PubMed
    Score: 0.143
  3. Imaging-genomics reveals driving pathways of MRI derived volumetric tumor phenotype features in Glioblastoma. BMC Cancer. 2016 08 08; 16:611.
    View in: PubMed
    Score: 0.132
  4. Gene integrated set profile analysis: a context-based approach for inferring biological endpoints. Nucleic Acids Res. 2016 Apr 20; 44(7):e69.
    View in: PubMed
    Score: 0.128
  5. Novel genotype-phenotype associations in human cancers enabled by advanced molecular platforms and computational analysis of whole slide images. Lab Invest. 2015 Apr; 95(4):366-76.
    View in: PubMed
    Score: 0.119
  6. Glioblastoma: imaging genomic mapping reveals sex-specific oncogenic associations of cell death. Radiology. 2015 Apr; 275(1):215-27.
    View in: PubMed
    Score: 0.118
  7. Phosphoinositide 3-Kinase Signaling Can Modulate MHC Class I and II Expression. Mol Cancer Res. 2019 12; 17(12):2395-2409.
    View in: PubMed
    Score: 0.041
  8. The molecular basis of breast cancer pathological phenotypes. J Pathol. 2017 Feb; 241(3):375-391.
    View in: PubMed
    Score: 0.034
  9. Outcome prediction in patients with glioblastoma by using imaging, clinical, and genomic biomarkers: focus on the nonenhancing component of the tumor. Radiology. 2014 Aug; 272(2):484-93.
    View in: PubMed
    Score: 0.028
  10. Genomic mapping and survival prediction in glioblastoma: molecular subclassification strengthened by hemodynamic imaging biomarkers. Radiology. 2013 Apr; 267(1):212-20.
    View in: PubMed
    Score: 0.026
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.