Here you may find some information about XYOM analyses.
Current XYOM analyses are organised in 6 categories:
- Machine learning (“ANN = Artificial neural network“, see also “Multilayer Perceptron“)
For quick search, here is a small XYOM glossary
Input data are ASCII files located in either your computer hard disk or your Google drive. They must be entered in the correct input format (XYOM format = CLIC format).
E X A M P L E of input data, as used in the published article about XYOM (Dujardin S. & Dujardin J.P., 2019):
LMSL means Landmarks + SemiLandmarks.
78, 76 is the subdivision of the file which contains data about two species: Panstrongylus chinai (n=78) and Triatoma carrioni (n=76). Data describe the operculum of the eggs. Each operculum was defined by two landmarks (LM) and 12 semilandmarks (SL). The SL code is 1,8,2,4 (which means 8 SL after the first LM, and 4 SL after the second LM). See Santillán-Guayasamín et al, 2017; Dujardin S. & Dujardin JP, 2019.
OTL means outlines (pseudolandmarks).
78, 75, 75 is the subdivision of the file. Data are pseudolandmarks describing the complete contour of eggs that belong to Panstrongylus chinai (n=78), P. howardi (n=75) and Triatoma carrioni (n=75). See Santillán-Guayasamín et al, 2017.
- will be saved on your hard disk in the format of your choice (XYOM format, TPS (like) format, CSV format, JSON formats).
- Alternatively, they can be saved in your Google drive (XYOM format).