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This finding is consistent with available published empirical observations linking errors to homopolymers [ 9].
Our approach outperformed the previous methods in both detection and linking errors.
Full results of all three methods are shown in Figure 5 and a detailed breakdown and analysis on the types of linking errors are described in File S1.
Our approach had a 2.2-fold reduction in detection errors (49.6 vs. 106.8), as well as a 4.5-fold reduction in linking errors (119.0 vs. 536.7) for an overall 3.8-fold reduction compared with BS-SN.
The error rate for each individual series was assessed on two types of errors: detection errors (expected cells that are missing, or new unexpected cells) and linking errors (e.g., incorrect assignment of daughter cells during division, change of naming between time points).
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Our approach properly takes advantage of both fusion to enable information flow and diversity to increase robustness to link errors.
As there are many reasons of packet loss in MANETs, such as packet loss due to link errors, queue overflow, frequent link changes, and malicious drop [42, 43].
In addition, we were unable to identify which residents committed patient errors, either individually or by resident level of training, or to link errors with session attendance.
We discuss different strategies in terms of information flow and robustness to link error and characterize the underlying trade-offs.
In wireline router links, errors due to transmission are negligible.
Such errors are referred to as intra-link errors in this article.
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