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Table 3 Profiles of CTRP dataset

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

Drug

Sensitive

Resistant

Total

Afatinib

77

302

379

Axitinib

142

285

427

AZD7762

56

384

440

AZD8055

80

365

445

BI-2536

41

548

589

Bleomycin

68

316

384

BMS-345541

51

340

391

BMS-754807

48

362

410

Bortezomib

57

514

571

Bosutinib

65

357

422

CAL-101

61

345

406

Cytarabine

65

368

433

Dabrafenib

23

177

200

Dasatinib

200

377

577

Docetaxel

56

136

192

Doxorubicin

125

297

422

Etoposide

94

318

412

EX-527

17

355

372

GDC0941

120

315

435

Gefitinib

66

349

415

Gemcitabine

28

345

373

GW843682X

33

504

537

Imatinib

71

494

565

JNJ-26854165

100

283

383

KU-55933

64

361

425

Lapatinib

68

476

544

Masitinib

64

328

392

Methotrexate

16

402

418

MG-132

10

204

214

Mitomycin C

145

260

405

MK-2206

100

306

406

NVP-BEZ235

58

252

310

NVP-TAE684

182

379

561

Obatoclax Mesylate

73

346

419

OSI-027

79

331

410

OSI-930

23

304

327

PAC-1

32

347

379

Paclitaxel

147

415

562

Parthenolide

126

408

534

Pazopanib

29

377

406

PHA-793887

94

309

403

PI-103

24

375

399

PIK-93

69

328

397

Piperlongumine

41

350

391

Ruxolitinib

73

324

397

SN-38

73

259

332

SNX-2112

53

358

411

Sunitinib

60

507

567

Tamoxifen

14

372

386

Temozolomide

12

395

407

Temsirolimus

45

194

239

TG101348

65

325

390

TGX221

63

513

576

TPCA-1

36

365

401

Trametinib

26

171

197

Tubastatin A

43

170

213

TW 37

24

371

395

Vorinostat

61

360

421

VX-680

15

46

61

YK 4-279

34

398

432

YM155

65

304

369

ZSTK474

23

377

400