ライフサイエンスコーパス: position weight matrix

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1 cific scoring matrix (PSSM), also known as a position weight matrix.

2 user-defined TFBSs given as a consensus or a position weight matrix.

3 variable sequences, were used to establish a position weight matrix and a matrix similarity (MS) scor

4 n, HIGEDA can identify gapped motifs using a position weight matrix and dynamic programming to genera

5 ree (CART) statistical model, which involves position weight matrix and human-mouse sequence similari

6 microarrays to derive a novel SOX4-specific position-weight matrix and determined that SOX4 binding

7 AR template performance based on sequence: a position weight matrix approach with support vector mach

8 cher description of the MEF2 binding site, a position weight matrix, can be reliably constructed and

9 itional supplementary annotation data (e.g., position weight matrix matches, conservation scores, str

10 dentification algorithm, which is based on a position weight matrix model that does not require addit

11 factor (TF) is typically represented using a position weight matrix model, which implicitly assumes t

12 moter strength and function, we used modular position weight matrix models comprised of each promoter

13 uding simple mononucleotide and dinucleotide position weight matrix models.

14 hypergeometric-based scoring function and a position-weight matrix optimization routine to identify

15 uch as sparse profile, dinucleotide profile, position weight matrix profile, Markov motif profile and

16 TFBSs are generally recognized by scanning a position weight matrix (PWM) against DNA using one of a

17 ('words') of length k ('k-mers'), as well as position weight matrix (PWM) and graphical sequence logo

18 ('words') of length k ('k-mers'), as well as position weight matrix (PWM) and graphical sequence logo

19 Also the simple method of constructing a position weight matrix (PWM) by comparing the frequency

20 The position weight matrix (PWM) derived for BqsR uncovered

21 In this system, we (i) construct a position weight matrix (PWM) from a collection of experi

22 The position weight matrix (PWM) is a popular method to mode

23 Such models largely rely on the position weight matrix (PWM) model for DNA binding, and

24 DSMC) motif discovery technique based on the position weight matrix (PWM) model to locate conserved m

25 lly infer the optimal cutoff threshold for a position weight matrix (PWM) of a motif identified from

26 in sine oculis (so) was used to construct a position weight matrix (PWM) of the Ey protein.

27 (TF) binding site analysis using a TRANSFAC position weight matrix (PWM) search, 86% of non-specific

28 When a position weight matrix (PWM) was constructed from the pr

29 red target sequence of a TF in the form of a position weight matrix (PWM), DNA accessibility data (in

30 perimentally determined and represented in a position weight matrix (PWM).

31 omogeneous partition is then summarized by a position weight matrix (PWM).

32 dictions based only on matches to a sequence position weight matrix (PWM).

33 , fdrMotif combines model optimization [e.g. position weight matrix (PWM)] and significance testing a

34 The position-weight matrix (PWM) is a useful representation

35 wly identified sites were used to generate a position-weighted matrix (PWM) for EBNA1's DNA-binding s

36 r the quality of the matches of a particular position weight matrix relative to another set.

37 we developed two methods, Kmer-Sum and PWM (Position Weight Matrix) stacking, for full-length bindin

38 We constructed a position weight matrix using these in vivo data and scan

39 on incorporating p53 binding strength into a position weight matrix, we selected 32 SNPs in putative

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