| Title | Transparency and reproducibility in artificial intelligence. |
| Publication Type | Journal Article |
| Year of Publication | 2020 |
| Authors | Haibe-Kains, B, Adam, GAlexandru, Hosny, A, Khodakarami, F, Waldron, L, Wang, B, McIntosh, C, Goldenberg, A, Kundaje, A, Greene, CS, Broderick, T, Hoffman, MM, Leek, JT, Korthauer, K, Huber, W, Brazma, A, Pineau, J, Tibshirani, R, Hastie, T, Ioannidis, JPA, Quackenbush, J, Aerts, HJWL |
| Corporate Authors | Massive Analysis Quality Control (MAQC) Society Board of Directors |
| Journal | Nature |
| Volume | 586 |
| Issue | 7829 |
| Pagination | E14-E16 |
| Date Published | 2020 10 |
| ISSN | 1476-4687 |
| Keywords | Algorithms; Artificial Intelligence; Reproducibility of Results |
| DOI | 10.1038/s41586-020-2766-y |
| Alternate Journal | Nature |
| PubMed ID | 33057217 |
| PubMed Central ID | PMC8144864 |
| Grant List | DP2 GM123485 / GM / NIGMS NIH HHS / United States R01 CA237170 / CA / NCI NIH HHS / United States |
