Sentence examples for based on statistical filtering from inspiring English sources

The tool TRF (Tandem Repeat Finder) developed by Benson (1998, 1999), based on statistical filtering of zones of DNA likely to contain TRs, is currently one of the standard heuristic methods.

CD-HIT uses a heuristics based on statistical k-mer filtering to speed up clustering calculations.

This study presents a classification tool called MicroCBR that uses the case-based reasoning paradigm and incorporates a novel filtering technique based on statistical methods, a new clustering technique that uses ESOINN (Enhanced Self-Organizing Incremental Neuronal Network), and a knowledge extraction technique based on the J48 algorithm.

Other methods are based on statistical methods like a particle filter using a MIDI signal [9, 10].

According to function (16), unlike the common filters based on statistical average, the proposed approach relies on propagation diffusion iteration method.

Unlike the common filters based on statistical average in a fixed window, this algorithm mainly relies on the theory of propagating interface, that is, Level set, controlled by partial differential equations.

Because these data are integrated within a relational database, filtering association results based on statistical values across multiple analyses as well as various SNP characteristics is easy and efficient, greatly facilitating the identification of candidate SNPs.

A lower ηC indicates less weight for the geometric constraint, and the estimation of the demixing filters is more based on statistical independence for source separation.

In this paper, a FRLS-PDA filter is proposed based on statistical and fuzzy theories for single MTT in cluttered situations with unknown process noises.

This score allows filtering of the hits based on statistical significance and is called here the Reliability Score, RS (Supplementary Data).

Filter methods are usually based on statistical measures like correlation and mutual information [ 15] and they usually work poorly when considering small datasets.