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Table 1 Number of samples for each cancer type in our dataset

From: Unsupervised deep learning reveals prognostically relevant subtypes of glioblastoma

Tissue Type

Number of Samples

Bladder urothelial carcinoma (BLCA)

403

Breast invasive carcinoma (BRCA)

1073

Esophageal carcinoma (ESCA)

183

Colon adenocarcinoma (COAD)

283

Glioblastoma multiforme (GBM)

481

Head and neck squamous cell carcinoma (HNSC)

508

Kidney renal clear cell carcinoma (KIRC)

525

Kidney renal papillary cell carcinoma (KIRP)

288

Liver hepatocellular carcinoma (LIHC)

364

Lung adenocarcinoma (LUAD)

509

Lung squamous cell carcinoma (LUSC)

498

Ovarian serous cystadenocarcinoma (OV)

559

Prostate adenocarcinoma (PRAD)

491

Rectum adenocarcinoma (READ)

93

Stomach adenocarcinoma (STAD)

236

Thyroid carcinoma (THCA)

499

Uterine corpus endometrial carcinoma (UCEC)

535

Total

7528