MicroRNA categorization using sequence motifs and k-mers

BMC Bioinformatics

Table 3 Average accuracy (ACC) and Matthews correlation coefficient (MCC) for 100-fold MCCV model training using Homo sapiens (HSA) or Gorilla gorilla (GGO) as target class and Nematoda or Pisces as other class (sorted by HSA ACC). Results for HSA and GGO vs all Nematoda and Pisces are bolded

	Versus	HSA ACC	GGO ACC	HSA MCC	GGO MCC
Nematoda	Caenorhabditis brenneri	0.94	0.96	0.88	0.93
	Pristionchus pacificus	0.93	0.94	0.86	0.88
	Panagrellus redivivus	0.93	0.96	0.86	0.92
	Strongyloides ratti	0.91	0.95	0.82	0.90
	Caenorhabditis remanei	0.89	0.87	0.78	0.75
	Caenorhabditis briggsae	0.87	0.86	0.75	0.72
	Ascaris suum	0.86	0.87	0.73	0.75
	Haemonchus contortus	0.86	0.87	0.72	0.75
	Caenorhabditis elegans	0.86	0.87	0.71	0.73
	Brugia malayi	0.84	0.80	0.68	0.60
	Nematoda	0.89	0.88	0.78	0.68
Pisces	Salmo salar	0.92	0.97	0.84	0.94
	Ictalurus punctatus	0.89	0.96	0.78	0.92
	Paralichthys olivaceus	0.84	0.93	0.71	0.87
	Oryzias latipes	0.83	0.77	0.67	0.56
	Danio rerio	0.80	0.78	0.60	0.56
	Fugu rubripes	0.77	0.79	0.55	0.59
	Cyprinus carpio	0.76	0.77	0.53	0.53
	Tetraodon nigroviridis	0.76	0.79	0.53	0.58
	Hippoglossus hippoglossus	0.67	0.69	0.35	0.39
	Pisces	0.84	0.83	0.68	0.57

ISSN: 1471-2105