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Connection

Fernando Martinez to Principal Component Analysis

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This is a "connection" page, showing publications Fernando Martinez has written about Principal Component Analysis.
Fernando Martinez
Connection Strength
0.026
Principal Component Analysis
  1. Erb-Downward JR, Sadighi Akha AA, Wang J, Shen N, He B, Martinez FJ, Gyetko MR, Curtis JL, Huffnagle GB. Use of direct gradient analysis to uncover biological hypotheses in 16s survey data and beyond. Sci Rep. 2012; 2:774.
    View in: PubMed
    Score: 0.026
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.