BPG is committed to discovery and dissemination of knowledge
Cited by in F6Publishing
For: Xu Z, Verma A, Naveed U, Bakhoum SF, Khosravi P, Elemento O. Deep learning predicts chromosomal instability from histopathology images. iScience 2021;24:102394. [PMID: 33997679 DOI: 10.1016/j.isci.2021.102394] [Cited by in Crossref: 2] [Cited by in F6Publishing: 3] [Article Influence: 2.0] [Reference Citation Analysis]
Number Citing Articles
1 Lukow DA, Sheltzer JM. Chromosomal instability and aneuploidy as causes of cancer drug resistance. Trends Cancer 2021:S2405-8033(21)00190-4. [PMID: 34593353 DOI: 10.1016/j.trecan.2021.09.002] [Reference Citation Analysis]
2 Lukow DA, Sausville EL, Suri P, Chunduri NK, Wieland A, Leu J, Smith JC, Girish V, Kumar AA, Kendall J, Wang Z, Storchova Z, Sheltzer JM. Chromosomal instability accelerates the evolution of resistance to anti-cancer therapies. Dev Cell 2021:S1534-5807(21)00592-X. [PMID: 34352222 DOI: 10.1016/j.devcel.2021.07.009] [Cited by in Crossref: 2] [Cited by in F6Publishing: 3] [Article Influence: 2.0] [Reference Citation Analysis]
3 Baptiste M, Moinuddeen SS, Soliz CL, Ehsan H, Kaneko G. Making Sense of Genetic Information: The Promising Evolution of Clinical Stratification and Precision Oncology Using Machine Learning. Genes (Basel) 2021;12:722. [PMID: 34065872 DOI: 10.3390/genes12050722] [Reference Citation Analysis]