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Binary inclusion-maximal bi-clustering (Bimax) is arguably one of the most popular binary bi-clustering algorithms, but it is not optimized to tolerate noise in the signal (Prelic, 2005) and produced small clusters with high specificity and poor sensitivity in our simulated dataset (Supplementary Table S16).
Moreover, if reducing noise in the gamma network may arguably enhance chance performance, it should be noted that the level of noise in the theta module was optimized for syllabic boundary detection, thus noisy theta is expected to allow better classification performance than noiseless theta.
Qualifications, arguably.
Guantanamo was not optimized for gathering intelligence.
It's clearly not optimized for beer.
Oxygen intake — optimized!
They have optimized survival.
Arguably, they still are.
Arguably, it can.
Arguably a strong one.
Arguably yes, but enough?
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