R package for fitting classification trees to ordinal response data
Stand alone application for 3':5' Quality Assessment
Installation instructions
Application: PixelAnalyzer.zip
GDAC Files Runtime (Affymetrix, Inc.)
PixelAnalyzer Source code
Non-parametric meta-analysis approach for combining independent microarray datasets
Test CEL 1
Test CEL 2
Test CEL 3
Test CEL 4
Test CEL 5
Test CEL 6
Measurement error models for estimating cross-platform correlations and gene-specific reliabilities
Supplementary Material
Stratagene Technical Replicates:
QAQC8.CEL
QAQC10.CEL
QAQC13.CEL
QAQC16.CEL
GMU1420.txt
GMU1421.txt
GMU1422.txt
C3B_7-7.txt
C3B_8-22.txt
C3B_8-31.txt
Breast/Ovarian Samples:
VBR29.CEL
VBR36.CEL
VBR42.CEL
VBR43.CEL
VBR44.CEL
VBR45.CEL
VBR46.CEL
VBR47.CEL
VOV1.CEL
VOV2.CEL
VOV3.CEL
VOV4.CEL
VOV5.CEL
VOV7.CEL
VOV8.CEL
VOVTB.CEL
VBR29_C3B.txt
VBR36_C3B.txt
VBR42_C3B.txt
VBR43_C3B.txt
VBR44_C3B.txt
VBR45_C3B.txt
VBR46_C3B.txt
VBR47_C3B.txt
OVO1_C3B.txt
OVO2_C3B.txt
OVO3_C3B.txt
OVO4_C3B.txt
OVO5_C3B.txt
OVO7_C3B.txt
OVO8_C3B.txt
OVOTB_C3B.txt
Goodness-of-fit test for logistic regression models estimated using complex sample survey data
STATA ado program svylogitgof
STATA help svylogitgof
README for svylogitgof
Quantifying the effects of highly correlated covariates and varying levels of strength of association on variable importance estimates from random forests
Supplementary Material
B- versus T-lineage ALL:
Probe sets with significant RF variable importance estimates
Mixed Effects Models for Assessing RNA Quality
Supplementary Material
Pixel level data
Renal Cell Samples:
NA-F
NA-U
NB-F
ND-U
TA-U
TA-F1
TA-F2
TB-F
TD-U
Ovarian Samples:
Ovarian1_G
Ovarian2_G
Ovarian3_G
Ovarian4_G
Ovarian5_G
Ovarian1_I
Ovarian2_I
Ovarian3_I
Ovarian4_I
Ovarian5_I