Combining location-and-scale batch effect adjustment with data cleaning by latent factor adjustment

BMC Bioinformatics

Table 1 Overview of datasets used in empirical studies

Label	Num. of	Num. of	Num. of	Prop. with	Data type	Source (Acc.num.)
	observ.	batches	variables	y = 2
ColonGastricEsophagealcSNPArray	93	3	50000	0.54	comparative genomic hybridization	ArrayExpr.: E-GEOD-36458
AgeDichotomTranscr	243	15	27568	0.49	DNA methylation profiling	ArrayExpr.: E-GEOD-36194
EthnicityMethyl	133	3	50000	0.45	DNA methylation profiling	ArrayExpr.: E-GEOD-39672
BipolardisorderMethyl	94	2	27537	0.50	DNA methylation profiling	ArrayExpr.: E-GEOD-38873
PostpartumDepressionMethyl	50	5	50000	0.46	DNA methylation profiling	ArrayExpr.: E-GEOD-44132
AutismTranscr	439	5	24526	0.53	transcription profiling	ArrayExpr.: E-GEOD-37772
BreastcTranscr	410	23	20180	0.50	transcription profiling	ArrayExpr.: E-GEOD-44281
BreastCancerConcatenation	168	5	22277	0.65	transcription profiling	ArrayExpr.: E-GEOD-27562,
						E-GEOD-21422, E-GEOD-22544,
						E-GEOD-20266, E-TABM-276
IUGRTranscr	67	2	48701	0.40	transcription profiling	ArrayExpr.: E-GEOD-35574
IBSTranscr	63	6	54671	0.70	transcription profiling	ArrayExpr.: E-GEOD-36701
SarcoidosisTranscr	58	3	54675	0.66	transcription profiling	NCBI GEO: GSE19314
pSSTranscr	49	3	54675	0.63	transcription profiling	ArrayExpr.: E-GEOD-40611
AlcoholismTranscr	39	2	28869	0.51	transcription profiling	ArrayExpr.: E-GEOD-44456
WestNileVirusTranscr	39	2	47323	0.46	transcription profiling	ArrayExpr.: E-GEOD-43190

The following information is given: number of observations, number of batches, number of variables, proportion of observations with disease, biomolecular data type, accession number

ISSN: 1471-2105