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MatInspector within GEMS was used to scan transcription factor matrix matches in input sequences based on position weight matrices.
This method is not expected to be as accurate as the prediction carried out here which is based on position weight matrices.
At the core of the processes is a method for TFBS prediction based on position weight matrices, known alternatively as position-specific scoring matrices (PSSMs, called 'possums'possums
After applying RepeatMasker [ 57], we used the MATCH program of TRANSFAC [ 58] (version 9.2) to scan the sequences for the presence of transcription factor binding sites based on position weight matrices.
Other technologies such as CHIP on chip array or in silico approaches based on position weight matrices can also be employed to identify putative transcription factor binding sites [ 92].
We build specialized models for each human SH3 domain and achieve competitive predictive performance of 0.73 area under precision-recall curve, compared with 0.27 area under precision-recall curve for state-of-the-art methods based on position weight matrices.
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The existing algorithms can be roughly classified into two broad categories according to the motif representations: those based on position-specific weight matrices (PWMs), and those based on consensus sequences.
The binding site predictions are based on a position weight matrix algorithm and to compute the statistical significance, we generated a background sequence set of 10,000 randomly selected 500 bp sequences, roughly matching the 9002 binding sites identified in the PPARγ and RXR ChIP-PET experiments.
Usually, our conversations are based on positions.
Based on a position-weight matrix (PWM) created from putative modification sites, this score is, similar to the SVM score, incorporated as a continuous variable into the BN, to assign a value to the Boolean phosphorylation variable (treating it as a latent variable).
Current associated computational methods, however, are usually based on the popular position weight matrices (PWMs) (Brannetti et al., 2000; Kim et al., 2011).
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based on height weight
based on body weight
based on age weight
based on rider weight
based on dog weight
based on polymer weight
based on task weight
based on position histology
based on position rotation
based on position matrix
based on position staff
based on position amplitude
based on position function
based on position information
based on position machine
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