dataset · Figshare · 2015

Classification performance.

Karin Schwarzbauer (122589), Ulrich Bodenhofer (122592), Sepp Hochreiter (122596)

Cited by 0Open access

Abstract

<p>The percentages are two-fold cross validation accuracies for the classification of LNFRs showing remodeling versus randomly selected non-LNFR DNA sequences from the human genome. Altogether four sets of remodeled LNFRs were considered: GC-rich and AT-rich remodeled LNFRs, both for resting and activated T cells. Each row corresponds to one choice of , the sub-sequence length parameter of the spectrum kernel. GC-rich remodeling LNFRs (third and fifth column) can be classified with higher accuracy than AT-rich remodeling LNFRs (second and fourth column). The highest accuracy for GC-rich remodeling LNFRs in resting T cells is 68.6% and is achieved for .</p>

Cite this paper

APA 7

(122589), K. S., (122592), U. B., & (122596), S. H. (2015). Classification performance. Figshare. https://doi.org/10.1371/journal.pone.0047924.t001

MLA 9

(122589), Karin Schwarzbauer, et al. “Classification performance.” Figshare, 2015, https://doi.org/10.1371/journal.pone.0047924.t001.

Chicago

(122589), Karin Schwarzbauer, Ulrich Bodenhofer (122592), and Sepp Hochreiter (122596). 2015. “Classification performance.” Figshare. https://doi.org/10.1371/journal.pone.0047924.t001.

Harvard

(122589), K.S., (122592), U.B. and (122596), S.H. (2015) ‘Classification performance’, Figshare. Available at: https://doi.org/10.1371/journal.pone.0047924.t001.

BibTeX

@misc{1225892015classification,
  title = {{Classification performance.}},
  author = {(122589), Karin Schwarzbauer and (122592), Ulrich Bodenhofer and (122596), Sepp Hochreiter},
  journal = {Figshare},
  year = {2015},
  doi = {10.1371/journal.pone.0047924.t001}
}

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