The need for validation of MI GPSai in patients with CUP: Comment on: “Machine learning analysis using 77,044 genomic and transcriptomic profiles to accurately predict tumor type” by J Abraham et al.
| Main Author: | |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2021-08-01
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| Series: | Translational Oncology |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S193652332100084X |
| _version_ | 1819064565765242880 |
|---|---|
| author | F. Anthony Greco |
| author_facet | F. Anthony Greco |
| author_sort | F. Anthony Greco |
| collection | DOAJ |
| first_indexed | 2024-12-21T15:32:36Z |
| format | Article |
| id | doaj.art-95b4a5517dcd40b3bc1aadd4ba07c53f |
| institution | Directory Open Access Journal |
| issn | 1936-5233 |
| language | English |
| last_indexed | 2024-12-21T15:32:36Z |
| publishDate | 2021-08-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Translational Oncology |
| spelling | doaj.art-95b4a5517dcd40b3bc1aadd4ba07c53f2022-12-21T18:58:44ZengElsevierTranslational Oncology1936-52332021-08-01148101092The need for validation of MI GPSai in patients with CUP: Comment on: “Machine learning analysis using 77,044 genomic and transcriptomic profiles to accurately predict tumor type” by J Abraham et al.F. Anthony Greco0Sarah Cannon Research Institute, Nashville, TN, 32703, USA; Tennessee Oncology, Nashville, TN, 32703, USA; Corresponding author. 250 25th Ave N, Nashville, TN, 32703, Phone +1 (615-289-3057), Fax +1 (615-320-1225).http://www.sciencedirect.com/science/article/pii/S193652332100084X |
| spellingShingle | F. Anthony Greco The need for validation of MI GPSai in patients with CUP: Comment on: “Machine learning analysis using 77,044 genomic and transcriptomic profiles to accurately predict tumor type” by J Abraham et al. Translational Oncology |
| title | The need for validation of MI GPSai in patients with CUP: Comment on: “Machine learning analysis using 77,044 genomic and transcriptomic profiles to accurately predict tumor type” by J Abraham et al. |
| title_full | The need for validation of MI GPSai in patients with CUP: Comment on: “Machine learning analysis using 77,044 genomic and transcriptomic profiles to accurately predict tumor type” by J Abraham et al. |
| title_fullStr | The need for validation of MI GPSai in patients with CUP: Comment on: “Machine learning analysis using 77,044 genomic and transcriptomic profiles to accurately predict tumor type” by J Abraham et al. |
| title_full_unstemmed | The need for validation of MI GPSai in patients with CUP: Comment on: “Machine learning analysis using 77,044 genomic and transcriptomic profiles to accurately predict tumor type” by J Abraham et al. |
| title_short | The need for validation of MI GPSai in patients with CUP: Comment on: “Machine learning analysis using 77,044 genomic and transcriptomic profiles to accurately predict tumor type” by J Abraham et al. |
| title_sort | need for validation of mi gpsai in patients with cup comment on machine learning analysis using 77 044 genomic and transcriptomic profiles to accurately predict tumor type by j abraham et al |
| url | http://www.sciencedirect.com/science/article/pii/S193652332100084X |
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