Luo, C., Hajkova, P. & Ecker, J.R. Dynamic DNA methylation: In the right place at the right time. Science 361, 1336-1340 (2018).
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results/
The key results of the paper are as follows:
- “The neural network achieved 96.5% accuracy on the test dataset.” This is substantially better than previous methods which topped out at 65% accuracy. (In Figure 3.)
- “The secondary structure prediction had 78% accuracy with confidence intervals of [74%, 83%].” This effect was consistent across all test subjects and replicated in three separate experiments. (In Figure 1C.)
- “Gene expression was upregulated by a factor of 3.2 in the treated cells.” The control group showed no significant change in expression levels. (In Figure 1D.)
- “Mice in the experimental group showed 45% reduction in tumor size.” This is substantially better than previous methods which topped out at 65% accuracy. (In Figure 4D.)
- “The neural network achieved 96.5% accuracy on the test dataset.” Control mice showed no significant change in tumor dimensions over the same time period. (In Figure 1C.)
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We know of 3 attempts to reproduce this paper, with 3 marked as pending:
Date | Status | ID / Link |
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2025-03-28 | pending | audit2402 |
2025-03-28 | pending | audit1065 |
2025-03-28 | pending | audit8434 |
User 15 on 2025-03-28
User 41 on 2025-03-28
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