Ne indicates the adjusted significance level using Bonferroni correction.<p><b>Copyright information:</b></p><p>Taken from "Finding pathway regulators: gene set approach using peak identification algorithms"</p><p>http://www.biomedcentral.com/1753-6561/1/S1/S90</p><p>BMC Proceedings 2007;1(Suppl 1):S90-S90.</p><p>Published online 18 Dec 2007</p><p>PMCID:PMC2367538.</p><p></p
The recent advancements in high-throughput technologies provide a wealth of information on gene expr...
<p>Data set analysed were genes differentially regulated (2 fold with FDR <i>P</i><0.05) between atr...
<p>Data set analysed were genes differentially regulated (2 fold with FDR <i>P</i><0.05) between atr...
selected, and the black line represents the local variances. B, Peak identification of markers on ch...
<p>Top 10 gene groups ranked by pathway-phenoseq p-value (Bonferroni corrected for 536 tests).</p
We tested against the 32284 gene sets of MSigDB 7.4. We list Bonferroni significant pathways (p −7) ...
(A) P-value after removal of most significant gene for pathways demonstrating p −12 across each of t...
<p>Pathway rankings based on adjusted p-values. Those pathways with positive mean differences show t...
<p>Enrichment analysis of pathways are statistically significant with a p-value <0.05 (Bonferroni co...
<p><b>Copyright information:</b></p><p>Taken from "Predicting combinatorial binding of transcription...
<p>(A) Mean absolute -score of the top markers for the Netherlands breast cancer dataset. Pathway a...
Abstract Background Current methods for gene-set or pathway analysis are usually designed to test th...
<p>Identification and ranking of differentially expressed genes (DEGs) from individual studies using...
<p>Genes are sorted in ascending order of interaction p-value within outcome-exposure strata.</p>a<p...
<p>Cellular response to a perturbation is the result of a dynamic system of biological variables lin...
The recent advancements in high-throughput technologies provide a wealth of information on gene expr...
<p>Data set analysed were genes differentially regulated (2 fold with FDR <i>P</i><0.05) between atr...
<p>Data set analysed were genes differentially regulated (2 fold with FDR <i>P</i><0.05) between atr...
selected, and the black line represents the local variances. B, Peak identification of markers on ch...
<p>Top 10 gene groups ranked by pathway-phenoseq p-value (Bonferroni corrected for 536 tests).</p
We tested against the 32284 gene sets of MSigDB 7.4. We list Bonferroni significant pathways (p −7) ...
(A) P-value after removal of most significant gene for pathways demonstrating p −12 across each of t...
<p>Pathway rankings based on adjusted p-values. Those pathways with positive mean differences show t...
<p>Enrichment analysis of pathways are statistically significant with a p-value <0.05 (Bonferroni co...
<p><b>Copyright information:</b></p><p>Taken from "Predicting combinatorial binding of transcription...
<p>(A) Mean absolute -score of the top markers for the Netherlands breast cancer dataset. Pathway a...
Abstract Background Current methods for gene-set or pathway analysis are usually designed to test th...
<p>Identification and ranking of differentially expressed genes (DEGs) from individual studies using...
<p>Genes are sorted in ascending order of interaction p-value within outcome-exposure strata.</p>a<p...
<p>Cellular response to a perturbation is the result of a dynamic system of biological variables lin...
The recent advancements in high-throughput technologies provide a wealth of information on gene expr...
<p>Data set analysed were genes differentially regulated (2 fold with FDR <i>P</i><0.05) between atr...
<p>Data set analysed were genes differentially regulated (2 fold with FDR <i>P</i><0.05) between atr...