The published papers comprise the first word on this dataset, they surely won't be the last word; I look forward to other groups analyzing this data.
As shown in Figures 22,23,24, the best performance in this paper on each dataset had all been created by the fusion of multiple Gabor features.
I published tons of papers on this.
Relevant research papers that have used this dataset are listed.
In a previous, jointly-authored paper on the same dataset Thwaite & McKay (2013), I described how teachers shape the discourse.
In this paper, based on the dataset built by Liu et al. [ 27] in our group, amino acid composition, motif frequency, predicted secondary structure information, and the interaction of predicted secondary structure segments were applied for the recognition of protein folds.
This dataset contains 1976 journal papers and 7096 conference papers.
Future work will include applying the neuron selection method proposed in this paper on chronically recorded neural datasets and developing on-line decoding algorithms.
Our goal was to compare the performance of the coevolution measures presented in this paper on a number of datasets that covered a wide range of assumptions about how residues evolve and coevolve in real biological data.
In total, this dataset contains 679 journal papers.
