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For: Kidd BA, Readhead BP, Eden C, Parekh S, Dudley JT. Integrative network modeling approaches to personalized cancer medicine. Per Med 2015;12:245-57. [PMID: 27019658 DOI: 10.2217/pme.14.87] [Cited by in Crossref: 9] [Cited by in F6Publishing: 9] [Article Influence: 1.3] [Reference Citation Analysis]
Number Citing Articles
1 Boison D, Yegutkin GG. Adenosine Metabolism: Emerging Concepts for Cancer Therapy. Cancer Cell 2019;36:582-96. [PMID: 31821783 DOI: 10.1016/j.ccell.2019.10.007] [Cited by in Crossref: 63] [Cited by in F6Publishing: 61] [Article Influence: 31.5] [Reference Citation Analysis]
2 Manem VSK, Salgado R, Aftimos P, Sotiriou C, Haibe-Kains B. Network science in clinical trials: A patient-centered approach. Semin Cancer Biol 2018;52:135-50. [PMID: 29278737 DOI: 10.1016/j.semcancer.2017.12.006] [Cited by in Crossref: 4] [Cited by in F6Publishing: 5] [Article Influence: 0.8] [Reference Citation Analysis]
3 Wang F, Preininger A. AI in Health: State of the Art, Challenges, and Future Directions. Yearb Med Inform 2019;28:16-26. [PMID: 31419814 DOI: 10.1055/s-0039-1677908] [Cited by in Crossref: 44] [Cited by in F6Publishing: 17] [Article Influence: 14.7] [Reference Citation Analysis]
4 Shameer K, Glicksberg BS, Hodos R, Johnson KW, Badgeley MA, Readhead B, Tomlinson MS, O'Connor T, Miotto R, Kidd BA, Chen R, Ma'ayan A, Dudley JT. Systematic analyses of drugs and disease indications in RepurposeDB reveal pharmacological, biological and epidemiological factors influencing drug repositioning. Brief Bioinform 2018;19:656-78. [PMID: 28200013 DOI: 10.1093/bib/bbw136] [Cited by in Crossref: 48] [Cited by in F6Publishing: 39] [Article Influence: 16.0] [Reference Citation Analysis]
5 Szeto GL, Finley SD. Integrative Approaches to Cancer Immunotherapy. Trends Cancer 2019;5:400-10. [PMID: 31311655 DOI: 10.1016/j.trecan.2019.05.010] [Cited by in Crossref: 15] [Cited by in F6Publishing: 14] [Article Influence: 7.5] [Reference Citation Analysis]
6 Zhang W, Chien J, Yong J, Kuang R. Network-based machine learning and graph theory algorithms for precision oncology. NPJ Precis Oncol 2017;1:25. [PMID: 29872707 DOI: 10.1038/s41698-017-0029-7] [Cited by in Crossref: 34] [Cited by in F6Publishing: 27] [Article Influence: 6.8] [Reference Citation Analysis]
7 Guang MHZ, McCann A, Bianchi G, Zhang L, Dowling P, Bazou D, O'Gorman P, Anderson KC. Overcoming multiple myeloma drug resistance in the era of cancer 'omics'. Leuk Lymphoma 2018;59:542-61. [PMID: 28610537 DOI: 10.1080/10428194.2017.1337115] [Cited by in Crossref: 23] [Cited by in F6Publishing: 20] [Article Influence: 4.6] [Reference Citation Analysis]
8 Maciejko L, Smalley M, Goldman A. Cancer Immunotherapy and Personalized Medicine: Emerging Technologies and Biomarker-Based Approaches. J Mol Biomark Diagn 2017;8:350. [PMID: 29285416 DOI: 10.4172/2155-9929.1000350] [Cited by in Crossref: 8] [Cited by in F6Publishing: 8] [Article Influence: 1.6] [Reference Citation Analysis]
9 Kini AS, Vengrenyuk Y, Shameer K, Maehara A, Purushothaman M, Yoshimura T, Matsumura M, Aquino M, Haider N, Johnson KW, Readhead B, Kidd BA, Feig JE, Krishnan P, Sweeny J, Milind M, Moreno P, Mehran R, Kovacic JC, Baber U, Dudley JT, Narula J, Sharma S. Intracoronary Imaging, Cholesterol Efflux, and Transcriptomes After Intensive Statin Treatment. Journal of the American College of Cardiology 2017;69:628-40. [DOI: 10.1016/j.jacc.2016.10.029] [Cited by in Crossref: 33] [Cited by in F6Publishing: 32] [Article Influence: 6.6] [Reference Citation Analysis]