other · Figshare · 2015

Principal component analysis.

Giordano Mancini (114178), Costantino Zazza (801006)

Cited by 0Open access

Abstract

<p>Projection of the trajectories of Cα atoms from the larger artificial trajectory in the volume spanned by the first 3 eigenvectors obtained by the principal component analysis, from 2 different points of view. Frames have been represented as dots coloured in black (WT), blue (F429A), magenta (F429E), orange (F429H) and green (F429L).</p>

Cite this paper

APA 7

(114178), G. M., & (801006), C. Z. (2015). Principal component analysis. Figshare. https://doi.org/10.1371/journal.pone.0137075.g004

MLA 9

(114178), Giordano Mancini, and Costantino Zazza (801006). “Principal component analysis.” Figshare, 2015, https://doi.org/10.1371/journal.pone.0137075.g004.

Chicago

(114178), Giordano Mancini, and Costantino Zazza (801006). 2015. “Principal component analysis.” Figshare. https://doi.org/10.1371/journal.pone.0137075.g004.

Harvard

(114178), G.M. and (801006), C.Z. (2015) ‘Principal component analysis’, Figshare. Available at: https://doi.org/10.1371/journal.pone.0137075.g004.

BibTeX

@misc{1141782015principal,
  title = {{Principal component analysis.}},
  author = {(114178), Giordano Mancini and (801006), Costantino Zazza},
  journal = {Figshare},
  year = {2015},
  doi = {10.1371/journal.pone.0137075.g004}
}

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