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Table 1 Datasets used in our experiment

From: Super.FELT: supervised feature extraction learning using triplet loss for drug response prediction with multi-omics data

Type

Dataset

Usage

# of drugs

Avg of cell lines

Avg of R/S

in vitro

GDSC

Training and cross validation

243

776

685/91

in vitro

CCLE

External validation

10

224

200/24

in vitro

CTRP

External validation

62

404

340/64

in vitro

PDX

External validation

6

31

27/4

in vivo

TCGA

External validation

13

27

14/13

  1. “#” represents the number of drugs.
  2. “Avg” represents the average number.
  3. “R” and “S” indicate resistant and sensitive samples, respectively