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Table 1 Overview of datasets used in empirical studies

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

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