The significant (associated with kidney cancer) genes only detected by other methods (not including CANOVA). (XLSX 56 kb
Figure S3. (a, b) The fraction of metabolic genes (whose dependency score in at least one cell line ...
Complete listing of results. Detailed listing of the results of discriminability and cross cancer ef...
Figure S2. Percent of statistically significant predictive models identified in our analysis using e...
The significant (associated with kidney cancer) genes only detected by knnAUC. (XLSX 16 kb
The significant (associated with kidney cancer) genes only detected by other methods. (XLSX 106 kb
The power comparison of simulation study across Gaussian noise levels (mean = 0, variance = 1/9, 1/4...
CRISPR models. Excel table containing statistically significant predictive models found using the CR...
RNAi models. Excel table containing statistically significant predictive models found using the RNAi...
Standard curve and serial dilutions for nHKGs and tHKGs. The x axis represents the dilution series (...
PK gene profiles across human cancers. This file contains additional text and figures that support t...
Allele frequency for non-reproducible false positive variants. Allele frequency (VF â x axis) is p...
Heatmaps of patient similarity for kidney cancer. The similarity scores were measured by the Pearson...
Number of training cell lines (nTrain), prevalence of gene mutation, p-values, number of test set ce...
Table S2. Average loading vectors used to assign continuous subtype scores. For each continuous scor...
Expression levels of genes in the Cancer Pathway Finder array. Values displayed include mean ÎCT, a...
Figure S3. (a, b) The fraction of metabolic genes (whose dependency score in at least one cell line ...
Complete listing of results. Detailed listing of the results of discriminability and cross cancer ef...
Figure S2. Percent of statistically significant predictive models identified in our analysis using e...
The significant (associated with kidney cancer) genes only detected by knnAUC. (XLSX 16 kb
The significant (associated with kidney cancer) genes only detected by other methods. (XLSX 106 kb
The power comparison of simulation study across Gaussian noise levels (mean = 0, variance = 1/9, 1/4...
CRISPR models. Excel table containing statistically significant predictive models found using the CR...
RNAi models. Excel table containing statistically significant predictive models found using the RNAi...
Standard curve and serial dilutions for nHKGs and tHKGs. The x axis represents the dilution series (...
PK gene profiles across human cancers. This file contains additional text and figures that support t...
Allele frequency for non-reproducible false positive variants. Allele frequency (VF â x axis) is p...
Heatmaps of patient similarity for kidney cancer. The similarity scores were measured by the Pearson...
Number of training cell lines (nTrain), prevalence of gene mutation, p-values, number of test set ce...
Table S2. Average loading vectors used to assign continuous subtype scores. For each continuous scor...
Expression levels of genes in the Cancer Pathway Finder array. Values displayed include mean ÎCT, a...
Figure S3. (a, b) The fraction of metabolic genes (whose dependency score in at least one cell line ...
Complete listing of results. Detailed listing of the results of discriminability and cross cancer ef...
Figure S2. Percent of statistically significant predictive models identified in our analysis using e...
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