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Fig. 2 | BMC Bioinformatics

Fig. 2

From: Fangorn Forest (F2): a machine learning approach to classify genes and genera in the family Geminiviridae

Fig. 2

Attributes used for the classification tasks. a The circular genome is divided into four genomic regions of the same (or nearly same) size. For each region, the following attributes are extracted: proportion of adenine, thymine, cytosine, guanine, and GC content. b Each ORF contained in the genome is divided into two regions of equal (or nearly equal) size. Then, a series of attributes concerning the constituent nucleotides and amino acids of the translated sequence are considered in these regions and the whole ORF sequence

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