| |
NLSVR
|
PCR
|
LNSVR
|
ANN
|
|---|
|
NFS
|
DEG
|
LIM
|
NFS
|
DEG
|
LIM
|
NFS
|
DEG
|
LIM
|
NFS
|
DEG
|
LIM
|
|---|
|
BLM
|
.207
|
.202
|
.202
|
.239
|
.208
|
.208
|
.151
|
.1
|
.209
|
.147
|
.17
|
.21
|
|
BTZ
|
.38
|
.404
|
.365
|
.422
|
.399
|
.354
|
.332
|
.326
|
.232
|
−.009
|
.299
|
.24
|
|
CIS
|
.05
|
.08
|
N/A
|
−.009
|
.047
|
N/A
|
.03
|
.079
|
N/A
|
−.066
|
.034
|
N/A
|
|
CYT
|
.313
|
.32
|
.279
|
.32
|
.281
|
.256
|
.337
|
.291
|
.269
|
.226
|
.266
|
.291
|
|
DTX
|
.422
|
.44
|
.408
|
.367
|
.409
|
.382
|
.357
|
.319
|
.359
|
.185
|
.318
|
.207
|
|
DOX
|
.273
|
.27
|
.117
|
.243
|
.285
|
.106
|
.27
|
.226
|
.103
|
.115
|
.173
|
.096
|
|
ETP
|
.289
|
.302
|
.294
|
.248
|
.291
|
.263
|
.238
|
.219
|
.273
|
.209
|
.195
|
.246
|
|
GEM
|
.143
|
.139
|
.166
|
.153
|
.117
|
.143
|
.07
|
.063
|
.165
|
.131
|
.119
|
.134
|
|
MTX
|
.461
|
.455
|
.462
|
.431
|
.435
|
.433
|
.417
|
.388
|
.338
|
.411
|
.391
|
.322
|
|
MMC
|
.237
|
.302
|
.244
|
.264
|
.269
|
.25
|
.27
|
.224
|
.239
|
.203
|
.153
|
.248
|
|
PTX
|
.32
|
.27
|
.198
|
.287
|
.282
|
.159
|
.233
|
.170
|
.191
|
−.106
|
.211
|
.177
|
|
VBL
|
.44
|
.403
|
.399
|
.408
|
.398
|
.37
|
.398
|
.339
|
.371
|
.112
|
.302
|
.363
|
|
VOR
|
.509
|
.495
|
.486
|
.5
|
.487
|
.439
|
.484
|
.471
|
.404
|
.445
|
.42
|
.42
|
|
SN-38
|
.383
|
.417
|
.409
|
.379
|
.391
|
.443
|
.397
|
.404
|
.429
|
.01
|
.327
|
.402
|
|
5-FU
|
.463
|
.464
|
.40
|
.455
|
.484
|
.354
|
.451
|
.438
|
.337
|
.309
|
.409
|
.365
|
|
AVG
|
.326
|
.331
|
.316
|
.314
|
.319
|
.297
|
.285
|
.27
|
.28
|
.144
|
.252
|
0.266
|
- Average spearman correlations across six different testing sets for all regression and feature selection methods. This data is graphically displayed in Fig. 3
