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A schematic diagram of the GAP approach. Its matlab implementation is included as Additional file 2. (DOCX 189 kb)

Unsupervised hierarchical clustering of tumor cells by functional dependency. (A) Grouping of drop-out patterns using outlier genes, where rows correspond to genes and columns correspond to cell lines. Non-outlier genes are colored in grey as they represent non-sensitive hits. The right inset provides a zoom-in view of the yellow cluster with the vast majority of hematological lines. The full size heatmap, dendrograms and labels have been included as Additional file 6. (B) Grouping using outlier genes from the Wnt pathway. (DOCX 1164 kb)

The outlier pattern for APC. (A) The kernel density plot of ATARiS gene level score for APC and details on the five outlier cell lines most vulnerable to its knockdown. (B) Unsupervised hierarchical clustering of tumor cells by functional dependency on outlier genes from the Wnt pathway, with APC highlighted in yellow. (DOCX 395 kb)

An implementation of the GAP approach in matlab. (PDF 43 kb)

An implementation of the GAP approach in matlab. (PDF 43 kb)

A schematic diagram of the GAP approach. Its matlab implementation is included as Additional file 2. (DOCX 189 kb)

Unsupervised hierarchical clustering of tumor cells by functional dependency. (A) Grouping of drop-out patterns using outlier genes, where rows correspond to genes and columns correspond to cell lines. Non-outlier genes are colored in grey as they represent non-sensitive hits. The right inset provides a zoom-in view of the yellow cluster with the vast majority of hematological lines. The full size heatmap, dendrograms and labels have been included as Additional file 6. (B) Grouping using outlier genes from the Wnt pathway. (DOCX 1164 kb)

The outlier pattern for APC. (A) The kernel density plot of ATARiS gene level score for APC and details on the five outlier cell lines most vulnerable to its knockdown. (B) Unsupervised hierarchical clustering of tumor cells by functional dependency on outlier genes from the Wnt pathway, with APC highlighted in yellow. (DOCX 395 kb)

The ATARiS gene level score distribution for (A) EGFR and (B) ERBB2. A probability density estimate is computed by Gaussian kernel smoothing. (DOCX 49 kb)

The ATARiS gene level score distribution for (A) EGFR and (B) ERBB2. A probability density estimate is computed by Gaussian kernel smoothing. (DOCX 49 kb)