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1 al representation of linkage disequilibrium (LinDen).
2 ssified using PLS DA with errors of 0.5% for linden, 10% for acacia, and about 20% for both sunflower
3 rarchical organization of tests performed by LinDen allows for efficient scaling based on the screene
7 -the-art tools for fast epistasis detection, LinDen drastically reduces the number of tests performed
8 ing tailings) deposit by local vegetation in Linden, Guyana, over 30 years, indicates that natural we
9 eed, chestnut, orange, acacia, sunflower and linden honeys were determined by multi-dimensional gas c
11 fferent botanical origin (acacia, sunflower, linden, meadow, and fake honey) by recording emission fr
12 types, including acacia, buckwheat, heather, linden, multiflower and rape honeys, was evaluated with
14 seudoacacia), sunflower (Helianthus annuus), linden (Tilia cordata), basil (Ocimum basilicum), buckwh
15 Salvia officinalis), nettle (Urtica dioica), linden (Tilia vulgaris) and St. John's wort (Hypericum c
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