Integrative enrichment analysis: a new computational method to detect dysregulated pathways in heterogeneous samples is a research paper published in BMC Genomics (2015). On theSindex it has a DataRank of 0.449. It has been cited 19 times.
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Base Score Contribution
0.449
From this paper's citation signal
Citation Network Contribution
0
Citation network not refreshed for this result
This paper's DataRank is currently driven only by its base citation score. Citation network data was not refreshed for this result.
Learn more about DataRank methodology →National Natural Science Foundation of China (CN)
Grant: 61432010
National Natural Science Foundation of China (CN)
Grant: 61272016
National Natural Science Foundation of China (CN)
Grant: 31200987
MeSH Terms
Additional file 2: Table S2. of Integrative enrichment analysis: a new computational method to detect dysregulated pathways in heterogeneous samples
Additional file 2: Table S2. of Integrative enrichment analysis: a new computational method to detect dysregulated pathways in heterogeneous samples
Additional file 4: Table S4. of Integrative enrichment analysis: a new computational method to detect dysregulated pathways in heterogeneous samples
Additional file 4: Table S4. of Integrative enrichment analysis: a new computational method to detect dysregulated pathways in heterogeneous samples
Additional file 13: of Integrative enrichment analysis: a new computational method to detect dysregulated pathways in heterogeneous samples
Additional file 13: of Integrative enrichment analysis: a new computational method to detect dysregulated pathways in heterogeneous samples
Additional file 5: Table S5. of Integrative enrichment analysis: a new computational method to detect dysregulated pathways in heterogeneous samples
Additional file 5: Table S5. of Integrative enrichment analysis: a new computational method to detect dysregulated pathways in heterogeneous samples
Additional file 3: Table S3. of Integrative enrichment analysis: a new computational method to detect dysregulated pathways in heterogeneous samples
Additional file 3: Table S3. of Integrative enrichment analysis: a new computational method to detect dysregulated pathways in heterogeneous samples
Additional file 1: Table S1. of Integrative enrichment analysis: a new computational method to detect dysregulated pathways in heterogeneous samples
Additional file 1: Table S1. of Integrative enrichment analysis: a new computational method to detect dysregulated pathways in heterogeneous samples
Additional file 2: Table S2. of Integrative enrichment analysis: a new computational method to detect dysregulated pathways in heterogeneous samples
Additional file 4: Table S4. of Integrative enrichment analysis: a new computational method to detect dysregulated pathways in heterogeneous samples
Additional file 5: Table S5. of Integrative enrichment analysis: a new computational method to detect dysregulated pathways in heterogeneous samples
Additional file 13: of Integrative enrichment analysis: a new computational method to detect dysregulated pathways in heterogeneous samples
Additional file 7: Table S7. of Integrative enrichment analysis: a new computational method to detect dysregulated pathways in heterogeneous samples
Additional file 11: Table S11. of Integrative enrichment analysis: a new computational method to detect dysregulated pathways in heterogeneous samples
Additional file 8: Table S8. of Integrative enrichment analysis: a new computational method to detect dysregulated pathways in heterogeneous samples
Additional file 12: Table S12. of Integrative enrichment analysis: a new computational method to detect dysregulated pathways in heterogeneous samples