Corroboration of CNA-IC50 correlations using a high-quality interactome dataset. The PCC distribution difference between drugs that target CTKs or STKs is maintained when the network is based on a high-quality dataset derived from the combination of reliable literature-curated binary interactions and well-verified high-throughput yeast two-hybrid interactions. (PDF 162 kb
Additional file 1: Fig. S1. Lung cancer cell lines with RB1 mutations are resistant to CDK4/6 inhibi...
Figure S3. Top scoring gene networks identified by Ingenuity Pathway Core Analysis. A) Network 1: li...
Figure S7. Correlation between CNV of cellular genes and low EBV copy number in NPC plasma. (A) The ...
Biological coherence of the integrated dataset. Graph showing the distributions of expression correl...
Gene-Drug interaction network. Interactions were retrieved in STITCH v5 (Search Tools for Interactio...
Background: Cancer patients often show no or only modest benefit from a given therapy. This major pr...
Background: Network analysis has been performed on large-scale medical data, capturing the global to...
Results from clustering tumors from the TCGA and Mayo Clinic studies. Analyses were completed with g...
Complete ceRNA interaction network. (A) ceRNA interaction network constructed by merging 537,304 sig...
Additional file 2: Table S1. CoGAPS 21 pattern matrix with pattern weights for each cell. Table S2. ...
Figure S2. CNV profile comparison between CP-409 FFPE-LN and PDX-LN. CNV profiles of NPC (A) FFPE-LN...
The correlation between TF pairs from different datasets. The box plots illustrate the correlation (...
Figure S1 Protein-protein interaction network to specific proteins in EVs from CR patients. Predicte...
Dataset 1. Gene co-expression network data. It contains network nodes, weighted network and list of ...
Table S1. IC50 values for selected inhibitors in breast cancer lines. IC50 values obtained in the cu...
Additional file 1: Fig. S1. Lung cancer cell lines with RB1 mutations are resistant to CDK4/6 inhibi...
Figure S3. Top scoring gene networks identified by Ingenuity Pathway Core Analysis. A) Network 1: li...
Figure S7. Correlation between CNV of cellular genes and low EBV copy number in NPC plasma. (A) The ...
Biological coherence of the integrated dataset. Graph showing the distributions of expression correl...
Gene-Drug interaction network. Interactions were retrieved in STITCH v5 (Search Tools for Interactio...
Background: Cancer patients often show no or only modest benefit from a given therapy. This major pr...
Background: Network analysis has been performed on large-scale medical data, capturing the global to...
Results from clustering tumors from the TCGA and Mayo Clinic studies. Analyses were completed with g...
Complete ceRNA interaction network. (A) ceRNA interaction network constructed by merging 537,304 sig...
Additional file 2: Table S1. CoGAPS 21 pattern matrix with pattern weights for each cell. Table S2. ...
Figure S2. CNV profile comparison between CP-409 FFPE-LN and PDX-LN. CNV profiles of NPC (A) FFPE-LN...
The correlation between TF pairs from different datasets. The box plots illustrate the correlation (...
Figure S1 Protein-protein interaction network to specific proteins in EVs from CR patients. Predicte...
Dataset 1. Gene co-expression network data. It contains network nodes, weighted network and list of ...
Table S1. IC50 values for selected inhibitors in breast cancer lines. IC50 values obtained in the cu...
Additional file 1: Fig. S1. Lung cancer cell lines with RB1 mutations are resistant to CDK4/6 inhibi...
Figure S3. Top scoring gene networks identified by Ingenuity Pathway Core Analysis. A) Network 1: li...
Figure S7. Correlation between CNV of cellular genes and low EBV copy number in NPC plasma. (A) The ...