Sentence examples for matrices to this from inspiring English sources

We added two more position-weight matrices to this collection: for the NRF1 transcriptional factor, we aligned 9 sequences of known NRF-1 binding sites [51]; for the oestrogen-related receptor alpha (ERR1), the position-weight matrix used was that described by Sladek et al. [52].

Applying the adjacent and following matrices to this dataset changed the average vector angles to 36.99 (both matrices) with non-significant magnitudes of 0.6060 and 0.7600, respectively.

We added two position weight matrices to this collection: for the transcriptional factor nuclear respiratory factor-1 (NRF-1), we aligned nine sequences of known NRF-1 binding sites (Au and Scheffler, 1998; Elbehti-Green et al, 1998; de Sury et al, 1998; Hirawake et al, 1999); for the estrogen-related receptor alpha (ESRRA), the position weight matrix was described by Sladek et al (1997).

First, we detected which power γ results in the highest scale-free topology index (R) and we raised the adjacency matrix to this power.

For every processor in our Biogrid system, we assign n/ p rows of matrix to this processor for the calculation of their corresponding association values.

A second-order Akaike Information Criterion (AICc) test fitting the two matrices to the data supported this expectation (ΔAICc = 205.9592).

For perfect photographic reproduction it is usually found preferable to use two or three sizes of matrices to cover this range.

Second, given the relationship between nullities and matrices, we present two types of matrices to characterize this type of matroid and its nullity operator.

Hydrogel biomaterials have been used as provisional matrices to regulate this regeneration process by providing the desired physical properties and controllable degradation characteristics.

We used a multiple Mantel test [44] with four similarity matrices to test this hypothesis.

In contrast to implementations for standard REML algorithms (which usually parameterize to the elements of the Cholesky factors of the covariance matrices to be estimated), this yields non-zero derivatives of all covariance matrices with respect to all parameters.