A Visually Interpretable, Dictionary-Based Approach to Imaging-Genomic Modeling, With Low-Grade Glioma as a Case Study.

Kuthuru S, Deaderick W, Bai H, Su C, Vu T, Monga V, Rao A

Open source

DOI
10.1177/1176935118802796
Published
2018
Container
Cancer informatics
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.1177/1176935118802796,
  title = {A Visually Interpretable, Dictionary-Based Approach to Imaging-Genomic Modeling, With Low-Grade Glioma as a Case Study.},
  author = {Kuthuru S and Deaderick W and Bai H and Su C and Vu T and Monga V and Rao A},
  year = {2018},
  journal = {Cancer informatics},
  doi = {10.1177/1176935118802796},
  url = {https://doi.org/10.1177/1176935118802796}
}

RIS

TY  - JOUR
TI  - A Visually Interpretable, Dictionary-Based Approach to Imaging-Genomic Modeling, With Low-Grade Glioma as a Case Study.
AU  - Kuthuru S
AU  - Deaderick W
AU  - Bai H
AU  - Su C
AU  - Vu T
AU  - Monga V
AU  - Rao A
PY  - 2018
JO  - Cancer informatics
DO  - 10.1177/1176935118802796
UR  - https://doi.org/10.1177/1176935118802796
ER  - 

APA

S, K., W, D., H, B., C, S., T, V., V, M., & A, R. (2018). A Visually Interpretable, Dictionary-Based Approach to Imaging-Genomic Modeling, With Low-Grade Glioma as a Case Study.. Cancer informatics. https://doi.org/10.1177/1176935118802796

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