A comprehensive sensitivity analysis of microarray breast cancer classification under feature variability

BMC Bioinformatics

Table 1 Dataset overview

*author*	*year*	*total*	*labeled*	*Good*	*poor*	*array platform*	*repository*	*accession*	*ref*
Desmedt	2007	147	120	91	21	Affymetrix HG-U133A	GEO	GSE 7390	[49]
Minn	2005	96	62	41	21	Affymetrix HG-U133A	GEO	GSE 2603	[50]
Miller	2005	247	193	156	37	Affymetrix HG-U133A	GEO	GSE 3494	[51]
Pawitan	2005	156	142	120	22	Affymetrix HG-U133A	GEO	GSE 1456	[52]
Loi	2007	178	120	92	28	Affymetrix HG-U133A	GEO	GSE 6532	[53]
Chin	2006	123	86	63	23	Affymetrix HG-U133A	ArrayExpress	E-TABM-158	[54]
Van't Veer	2002	97	97	51	46	Agilent 2-color custom	-	-	[2]
Van de Vijver	2002	87	87	75	12	Agilent 2-color custom	-	-	[34]

The column total contains the total number of hybridizations available, while the column labeled shows the number of samples that have a properly defined class label. The next two columns indicate the decomposition of this number into good and poor prognosis cases. The columns repository and accession list in what repository and under which accession number each dataset can be found.

ISSN: 1471-2105