Genome-wide prediction and prioritization of human aging genes by data fusion: a machine learning approach

BMC Genomics

Table 1 Datasets used to evaluate reliable negative sample extraction algorithms

Number of instances	Number of attributes	Data set names
756	754	Parkinson’s Disease Classification Data Set [19]
345	7	Liver Disorders Data Set [20]
1024	10	Cloud Data Set [21]
351	34	Ionosphere Data Set [22]
19,020	11	MAGIC Gamma Telescope Data Set [23]
961	6	Mammographic Mass Data Set [24]
569	32	Breast Cancer Wisconsin (Diagnostic) Data Set [25]
208	60	Connectionist Bench (Sonar, Mines vs. Rocks) Data Set [26]

ISSN: 1471-2164