We would like to thank the dedicated members of the cDNA production group at the Washington University Genome Center, to all authors of the numerous algorithms used to perform the analysis and the WormBase team for the access to C. elegans genome annotations.
We would like to thank all authors of the numerous algorithms used to perform the analysis, and the WormBase team for access to C. elegans genome annotations.
We would like to thank the dedicated members of the cDNA production group at the Washington University's Genome Institute, John Martin, Zhengyuan Wang and Qi Wang for technical assistance and to all authors of the numerous algorithms used to perform the analysis.
We would like to thank the dedicated members of the cDNA production group at the Washington University's Genome Center and to all authors of the numerous algorithms used to perform the analysis.
Hence, since there are numerous efficient algorithms to detect and classify an OFDM signal based on its cyclic prefix through the use of a simple autocorrelation procedure [21 23], we focus on the case of an OFDM signal transmitted with no cyclic prefix.
Moreover, while numerous algorithms are available to computationally predict potential regulatory elements, it is often challenging to narrow down the list of those that are likely to be functional, particularly for relatively short elements such as TFBS.
Up-to-date, numerous algorithms exit that attempt to identify potential miRNA target sites including TargetScan [7], [8], miRanda [9], PicTar [10], rna22 [11], Pita [12], and NBmiRTar [13].
Although numerous algorithms are available to minimize this risk (6), the fear of hypoglycemia-induced mortality and permanent disability largely impedes the implementation of TGC in daily routine.
In the past, numerous algorithms have been proposed to deal with CFO and/or channel estimation for MIMO-OFDM systems.
So far, numerous algorithms have been proposed to estimate the available bandwidth over wired/wireless networks in the literature [31, 41, 42].
