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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 accession

N

Disease

Classes at comparison

GDS4968

99

Multiple myeloma

Monoclonal gammopathy (n = 20) vs. multiple myeloma (n = 41) vs. smoldering multiple myeloma (n = 33)

GDS4887

40

Hepatocellular carcinoma

Hepatocellular carcinoma (n = 20) vs. non-tumor (n = 20)

GDS4794

65

Small cell lung cancer

Normal cells (n = 42) vs. small cell lung cancer (n = 23)

GDS4762

80

Breast cancer

Cancer cells (n = 37) vs. fibroblasts (n = 43)

GDS4471

76

Medulloblastoma

Classic medulloblastoma (n = 51) vs. other types (n = 25)

GDS4296

174

Many different malignancies

Renal 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)

GDS3952

162

Breast cancer

Benign (n = 37) vs. ectopic (n = 22) vs. healthy controls (n = 31) vs. malignant (n = 51)

GDS3945

42

Renal clear cell carcinoma

T3 thyronine (n = 21) vs. untreated controls (n = 21)

  1. N number of samples