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As more data becomes available it would be possible to apply more general sequence kernels characterizing similarity of the loop sequences.
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Besides motifs, also more general sequence-dependent properties are promoter specific.
In this paper, we shall consider the more general random sequence with infinite mean.
We prove this for the inequality involving the Rademacher functions, but also for more general "lacunary" sequences, or even non-commutative analogues of the Rademacher functions.
The general idea of all methods is outlined as follows: starting with more general (shorter) sequences and extending them towards more specific (longer) ones.
In the sequel, for convenience, the expression 'exceedances by ({X_{j},jgeq1})' stands for 'exceedances by (eta(t)).' We prove that the time-normalized point process (N_{n}) converges in distribution to the in plane Cox process defined in Lin et al. [16] and extend the results in Lin et al. [16] to the case of more general normal sequences.
Fourier, Hadamard, and more general pseudorandom sequences are the most commonly used deconvolution algorithms for time-multiplexing ion mobility.
We study the convergence of a more general Picard iterative sequence for nonexpansive and Lipschitz strongly accretive mappings in an arbitrary real Banach space.
The observed natural variations, as well as site-directed mutagenesis studies, have defined a more general RR-consensus sequence as R/K-R-x- -#, wheR/K-R-x- -hydR/K-R-x- -esidue [13], [14], [15].
16S rRNA-coding gene was more conservative, and general sequence variability of the rrs gene across all strains and species reached 11.52%.
In 2010, Şimşek et al. [12] introduced a new modular sequence space which is more general than the Cesàro sequence space defined by Shiue [13] and the generalized Cesàro sequence space defined by Suantai.
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