Connection

Co-Authors

This is a "connection" page, showing publications co-authored by GORDON B MILLS and PRAHLAD RAM.
Connection Strength

1.880
  1. Bioinformatics and systems biology. Mol Oncol. 2012 Apr; 6(2):147-54.
    View in: PubMed
    Score: 0.413
  2. Targeting KRas-dependent tumour growth, circulating tumour cells and metastasis in vivo by clinically significant miR-193a-3p. Oncogene. 2017 03; 36(10):1339-1350.
    View in: PubMed
    Score: 0.142
  3. Direct Upregulation of STAT3 by MicroRNA-551b-3p Deregulates Growth and Metastasis of Ovarian Cancer. Cell Rep. 2016 05 17; 15(7):1493-1504.
    View in: PubMed
    Score: 0.138
  4. Functional proteomics identifies miRNAs to target a p27/Myc/phospho-Rb signature in breast and ovarian cancer. Oncogene. 2016 Feb 11; 35(6):801.
    View in: PubMed
    Score: 0.136
  5. Robust Selection Algorithm (RSA) for Multi-Omic Biomarker Discovery; Integration with Functional Network Analysis to Identify miRNA Regulated Pathways in Multiple Cancers. PLoS One. 2015; 10(10):e0140072.
    View in: PubMed
    Score: 0.133
  6. Genome-wide perturbations by miRNAs map onto functional cellular pathways, identifying regulators of chromatin modifiers. NPJ Syst Biol Appl. 2015; 1:15001.
    View in: PubMed
    Score: 0.133
  7. Functional proteomics identifies miRNAs to target a p27/Myc/phospho-Rb signature in breast and ovarian cancer. Oncogene. 2016 Feb 11; 35(6):691-701.
    View in: PubMed
    Score: 0.127
  8. Cancer Systems Biology: a peek into the future of patient care? Nat Rev Clin Oncol. 2014 Mar; 11(3):167-76.
    View in: PubMed
    Score: 0.118
  9. Kinome siRNA-phosphoproteomic screen identifies networks regulating AKT signaling. Oncogene. 2011 Nov 10; 30(45):4567-77.
    View in: PubMed
    Score: 0.099
  10. Identification of optimal drug combinations targeting cellular networks: integrating phospho-proteomics and computational network analysis. Cancer Res. 2010 Sep 01; 70(17):6704-14.
    View in: PubMed
    Score: 0.093
  11. Network topology determines dynamics of the mammalian MAPK1,2 signaling network: bifan motif regulation of C-Raf and B-Raf isoforms by FGFR and MC1R. FASEB J. 2008 May; 22(5):1393-403.
    View in: PubMed
    Score: 0.078
  12. Exploiting the PI3K/AKT pathway for cancer drug discovery. Nat Rev Drug Discov. 2005 Dec; 4(12):988-1004.
    View in: PubMed
    Score: 0.067
  13. Peritoneal Spread of Ovarian Cancer Harbors Therapeutic Vulnerabilities Regulated by FOXM1 and EGFR/ERBB2 Signaling. Cancer Res. 2020 12 15; 80(24):5554-5568.
    View in: PubMed
    Score: 0.047
  14. Corrigendum: A pan-cancer proteomic perspective on The Cancer Genome Atlas. Nat Commun. 2015 Jan 28; 6:4852.
    View in: PubMed
    Score: 0.032
  15. Copy number gain of hsa-miR-569 at 3q26.2 leads to loss of TP53INP1 and aggressiveness of epithelial cancers. Cancer Cell. 2014 Dec 08; 26(6):863-879.
    View in: PubMed
    Score: 0.031
  16. Cupid: simultaneous reconstruction of microRNA-target and ceRNA networks. Genome Res. 2015 Feb; 25(2):257-67.
    View in: PubMed
    Score: 0.031
  17. Inhibition of mTORC1/2 overcomes resistance to MAPK pathway inhibitors mediated by PGC1a and oxidative phosphorylation in melanoma. Cancer Res. 2014 Dec 01; 74(23):7037-47.
    View in: PubMed
    Score: 0.031
  18. A pan-cancer proteomic perspective on The Cancer Genome Atlas. Nat Commun. 2014 May 29; 5:3887.
    View in: PubMed
    Score: 0.030
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.