ANOVA PANCAN result package
Francesco Iorio, EMBL - European Bioinformatics Institute
result parsing started on 2016-03-31 19:01:45 iorio@ebi.ac.uk
Drug Domain: GDSC1000_paper_set, Analysis Domain: panCancer
Individual Feature analysis: PIK3CA_mut
Feature details and cell panel numbers
Binary feature equal to 1 for samples harboring mutations in PIK3CA
Number of cell lines positive for this feature: 95
Statistically significant associations identified = 2
| association id |
FEATURE |
Drug id |
Propr |
Public |
Drug Name |
Drug Target |
N FEATURE pos |
N FEATURE neg |
log max Conc tested |
FEATURE neg logIC50 MEAN |
FEATURE pos logIC50 MEAN |
FEATURE deltaMEAN IC50 |
FEATURE IC50 effectSize |
FEATURE neg Glass delta |
FEATURE pos Glass delta |
ANOVA FEATURE pval |
Tissue ANOVA pval |
MSI ANOVA pval |
ANOVA FEATURE FDR % |
a128 |
PIK3CA_mut |
1527 |
1 |
1 |
GDC0941 (rescreen) |
PI3K |
91 |
792 |
1.39 |
0.929 |
0.332 |
-0.596 |
0.47 |
0.47 |
0.58 . |
2.36e-05 |
1.07e-07 |
3.76e-02 |
3 |
a163 |
PIK3CA_mut |
326 |
1 |
1 |
GSK690693 |
AKT |
88 |
831 |
2.33 |
3.62 |
2.96 |
-0.664 |
0.38 |
0.38 |
0.38 |
5.13e-05 |
6.62e-50 |
8.08e-02 |
5.2 |
All-tests volcano plot
