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(2) Sliding window functions to filter out the sequencing bias are used in genome assembling process.
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It is a normal brain function to filter out the noise of tinnitus, for example, but if you see a three-foot goblin a few yards away at the end of your bed – as some people who hallucinate do – you are probably going to struggle to ignore it.
The most important features of SWA are (1) assembling repeats and nonrepeats completely and accurately; (2) adopting sliding window function to filter out sequencing bias in genome assembly process; (3) compensating the loss of low coverage; and (4) estimating the copies of each assembled contigs.
Selection, simplification and aggregation functions are applied to filter out meaningful subsets of the data to be able to recognise structures in the movement data.
Thus, a two-dimensional filter, called the kernel function, is used to filter out the cross-terms (that are generally located away from the origin) [1, 5 7]: (11).
In SWA, sliding window function is used to filter out the sequencing bias caused by sequencing process and improve the confidence of separating repeats and nonrepeats.
Then sliding window function is used to filter out the read count bias of this interval, and then the mean value m y filtered by sliding window is recorded in variable M n which is used to detect the boundary of repeats.
We take the first-order Bessel function of the expansion to filter out multiple harmonics, which is given as (12).
The proposed MIO classification method designated as the FVM-index method integrates fuzzy set theory (FST), variable precision rough set (VPRS) theory, and a modified cluster validity index (MCVI) function, and is designed specifically to filter out the uncertainty and inaccuracy inherent in the surveyed MIO real-valued dataset; thereby improving the classification performance.
TIMESAT (Jönsson and Eklundh 2002, 2004) aims at least squares fitting of a function on the time series to filter out noise and remove spikes (Olsson et al. 2012).
One of the main functions of passive components in wireless phones is to filter out all radio frequencies -- including broadcast radio and television signals -- that are outside the band assigned to its system.
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