File:Phenotypic-landscape-inference-reveals-multiple-evolutionary-paths-toC4-photosynthesis-elife00961fs003.jpg

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English: Quantitative variables were assigned binary scores using two-data

clustering techniques. Each panel depicts the assignation of presence (red squares) and absence (blue triangles) scores by the EM algorithm. Adjacent to the right are cladograms depicting the partitioning of the same values into clusters by hierarchical clustering. Red cladogram branches denote values partitioned into a different group to that assigned by EM. The variables depicted in each panel are PEPC activity (A), PPDK activity (B), C4 acid decarboxylase activity (C), RuBisCO activity (D), MDH activity (E), vein spacing (F), number of BS chloroplasts (G), BS

chloroplast size (H).
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Source Image file from Williams B, Johnston I, Covshoff S, Hibberd J (2013). "Phenotypic landscape inference reveals multiple evolutionary paths to C4 photosynthesis". eLife. DOI:10.7554/eLife.00961. PMID 24082995. PMC: 3786385.
Author Williams B, Johnston I, Covshoff S, Hibberd J
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current12:13, 30 July 2014Thumbnail for version as of 12:13, 30 July 2014789 × 1,024 (131 KB)Recitation-bot (talk | contribs)Automatic upload of media from: doi:10.7554/eLife.00961

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