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Table 2 Microarray data sets included in the analyses and the related classes at comparison

From: Analyzing gene expression data for pediatric and adult cancer diagnosis using logic learning machine and standard supervised methods

GEO dataset accessionNDiseaseClasses at comparison
GDS496899Multiple myelomaMonoclonal gammopathy (n = 20) vs. multiple myeloma (n = 41) vs. smoldering multiple myeloma (n = 33)
GDS488740Hepatocellular carcinomaHepatocellular carcinoma (n = 20) vs. non-tumor (n = 20)
GDS479465Small cell lung cancerNormal cells (n = 42) vs. small cell lung cancer (n = 23)
GDS476280Breast cancerCancer cells (n = 37) vs. fibroblasts (n = 43)
GDS447176MedulloblastomaClassic medulloblastoma (n = 51) vs. other types (n = 25)
GDS4296174Many different malignanciesRenal cancer (n = 23) vs. colon cancer (n = 21) vs. melanoma (n = 26) vs. non-small cell lung cancer (n = 29) vs. ovarian cancer (n = 21)
GDS3952162Breast cancerBenign (n = 37) vs. ectopic (n = 22) vs. healthy controls (n = 31) vs. malignant (n = 51)
GDS394542Renal clear cell carcinomaT3 thyronine (n = 21) vs. untreated controls (n = 21)
  1. N number of samples