<p>(<b>A</b>) Drug-induced gene expression profiles tested in MCF7 (breast cancer) cells (nodes) are linked by shared expression patterns to a cluster exemplar (line width proportional to Pearson correlation) representing their characteristic response. Clusters enriched for literature or experimentally annotated hERG inhibitors are outlined in red. (<b>B</b>) Drug induced gene expression profiles generated from MCF7, PC3 (prostate cancer), and HL60 (leukemia) cell lines are clustered as in (<b>A</b>), with cell of origin indicated by node shape.</p
<p>Three different datasets of cancer cell lines were examined (Barretina, Garnett, and Heiser), eac...
Failure to adequately characterize cell lines, and understand the differences between in vitro and i...
<p><b>A</b> A three-dimensional visualisation of a Pearson correlation gene to gene network graph (<...
<p>Raw microarray data for drugs profiled in three cancer cell lines in the Connectivity Map (left) ...
AbstractIn an effort to determine putative functional relationships between gene expression patterns...
5-fold common gene expression list obtained following treatment with all CT drugs used (cisplatin, t...
<p><b>A.</b> Clustering of self-organizing maps was done to analyze gene expression of proteases, ES...
The main goal of Systems Biology research is to reconstruct biological networks for its topological ...
Background: Cancer patients often show no or only modest benefit from a given therapy. This major pr...
<p>The four top-scoring networks have been merged and are displayed graphically as nodes (genes/gene...
<p>A. Upregulated networks; B. Downregulated networks. The five top-scoring networks for each cell l...
<p>The four top-scoring networks have been merged and are displayed graphically as nodes (genes/gene...
<p>The HMT3522 progression series of human breast cells have been used to discover how tissue archit...
One of the driving force that pushes a normal cell towards a cancerous state is led by unregulated c...
<p>Ingenuity networks generated by mapping the candidate oncogenes and tumor suppressor genes identi...
<p>Three different datasets of cancer cell lines were examined (Barretina, Garnett, and Heiser), eac...
Failure to adequately characterize cell lines, and understand the differences between in vitro and i...
<p><b>A</b> A three-dimensional visualisation of a Pearson correlation gene to gene network graph (<...
<p>Raw microarray data for drugs profiled in three cancer cell lines in the Connectivity Map (left) ...
AbstractIn an effort to determine putative functional relationships between gene expression patterns...
5-fold common gene expression list obtained following treatment with all CT drugs used (cisplatin, t...
<p><b>A.</b> Clustering of self-organizing maps was done to analyze gene expression of proteases, ES...
The main goal of Systems Biology research is to reconstruct biological networks for its topological ...
Background: Cancer patients often show no or only modest benefit from a given therapy. This major pr...
<p>The four top-scoring networks have been merged and are displayed graphically as nodes (genes/gene...
<p>A. Upregulated networks; B. Downregulated networks. The five top-scoring networks for each cell l...
<p>The four top-scoring networks have been merged and are displayed graphically as nodes (genes/gene...
<p>The HMT3522 progression series of human breast cells have been used to discover how tissue archit...
One of the driving force that pushes a normal cell towards a cancerous state is led by unregulated c...
<p>Ingenuity networks generated by mapping the candidate oncogenes and tumor suppressor genes identi...
<p>Three different datasets of cancer cell lines were examined (Barretina, Garnett, and Heiser), eac...
Failure to adequately characterize cell lines, and understand the differences between in vitro and i...
<p><b>A</b> A three-dimensional visualisation of a Pearson correlation gene to gene network graph (<...