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As mentioned above, we utilized CGC as an approximate benchmark of known drivers.
However, well-curated cancer gene databases such as CGC and the Pan-Cancer study provide an approximate benchmark of known drivers [ 13, 42].
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We believe that ELCI as well as the enhanced LS-SCVX can provide in practice good approximate benchmarks in the case of large-scale problems as advocated by distributed algorithms.
The modified WNNs were then applied in approximating a benchmark piecewise function.
Performance over the past three and five years is negative but slightly better than its peer group and approximates its benchmark index.
In the benchmarks, approximate solutions were identical to the exact solutions.
Together, the two benchmarks approximate the setting where users are interested in identifying local RNA secondary structure motifs embedded in longer RNAs (such as mRNAs), in spite of the presence of a few entirely spurious, unrelated RNAs among the input sequences.
The analytical findings also serve as a benchmark for approximate methods applied to gyroscopic continua.
We thus used RNA-Seq measurement of MAE in multiple clonal lines as the benchmark to approximate MAE in nonclonal cells of the same type: a gene was considered MAE if it was called MAE in at least one clone and BAE if it was called BAE in at least one clone and was not called MAE in any one clone.
Furthermore, the analytical solutions for the natural frequencies can be used as benchmarks for approximate solutions such as Rayleigh-Ritz, finite element methods and other numerical methods.
The exact solutions for deflections can be used as benchmarks for approximate solutions such as Rayleigh Ritz and finite element methods.
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