| scholarly article | Q13442814 |
| P6179 | Dimensions Publication ID | 1021619841 |
| P356 | DOI | 10.1186/S13058-014-0486-7 |
| P932 | PMC publication ID | 4303196 |
| P698 | PubMed publication ID | 25440089 |
| P5875 | ResearchGate publication ID | 269177869 |
| P2093 | author name string | Chao Cheng | |
| Matthew Ung | |||
| Erik H Andrews | |||
| James DiRenzo | |||
| Sari S Khaleel | |||
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| P275 | copyright license | Creative Commons Attribution 2.0 Generic | Q19125117 |
| P6216 | copyright status | copyrighted | Q50423863 |
| P433 | issue | 6 | |
| P921 | main subject | breast cancer | Q128581 |
| patient | Q181600 | ||
| P304 | page(s) | 486 | |
| P577 | publication date | 2014-12-02 | |
| P1433 | published in | Breast Cancer Research | Q2208481 |
| P1476 | title | E2F4 regulatory program predicts patient survival prognosis in breast cancer | |
| P478 | volume | 16 |
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| Q36253768 | Contextual Refinement of Regulatory Targets Reveals Effects on Breast Cancer Prognosis of the Regulome |
| Q36526008 | E2F4 Program Is Predictive of Progression and Intravesical Immunotherapy Efficacy in Bladder Cancer |
| Q62785312 | ER+ Breast Cancers Resistant to Prolonged Neoadjuvant Letrozole Exhibit an E2F4 Transcriptional Program Sensitive to CDK4/6 Inhibitors |
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| Q43216761 | The E2F4 prognostic signature is also predictive of the pathological response of breast cancer to chemotherapy |
| Q33630465 | The E2F4 prognostic signature predicts pathological response to neoadjuvant chemotherapy in breast cancer patients |
| Q26748969 | The Three Paralogous MicroRNA Clusters in Development and Disease, miR-17-92, miR-106a-363, and miR-106b-25 |
| Q39612810 | The pan-cancer pathological regulatory landscape |
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| Q36103183 | iTAR: a web server for identifying target genes of transcription factors using ChIP-seq or ChIP-chip data |
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