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For: Vadapalli S, Abdelhalim H, Zeeshan S, Ahmed Z. Artificial intelligence and machine learning approaches using gene expression and variant data for personalized medicine. Brief Bioinform 2022:bbac191. [PMID: 35595537 DOI: 10.1093/bib/bbac191] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
Number Citing Articles
1 Tsakiroglou M, Evans A, Pirmohamed M. Leveraging transcriptomics for precision diagnosis: Lessons learned from cancer and sepsis. Front Genet 2023;14. [DOI: 10.3389/fgene.2023.1100352] [Reference Citation Analysis]
2 Venkat V, Abdelhalim H, DeGroat W, Zeeshan S, Ahmed Z. Investigating genes associated with heart failure, atrial fibrillation, and other cardiovascular diseases, and predicting disease using machine learning techniques for translational research and precision medicine. Genomics 2023;115:110584. [PMID: 36813091 DOI: 10.1016/j.ygeno.2023.110584] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
3 Degroat W, Venkat V, Pierre-louis W, Abdelhalim H, Ahmed Z. Hygieia: AI/ML pipeline integrating healthcare and genomics data to investigate genes associated with targeted disorders and predict disease. Software Impacts 2023. [DOI: 10.1016/j.simpa.2023.100493] [Reference Citation Analysis]
4 Ahmed Z, Zeeshan S, Lee D. Editorial: Artificial intelligence for personalized and predictive genomics data analysis. Front Genet 2023;14:1162869. [PMID: 36936434 DOI: 10.3389/fgene.2023.1162869] [Reference Citation Analysis]
5 Fan Y, S Chan A, Zhu J, Yi Leung S, Fan X. A Bayesian model for identifying cancer subtypes from paired methylation profiles. Brief Bioinform 2023;24. [PMID: 36575828 DOI: 10.1093/bib/bbac568] [Reference Citation Analysis]
6 Abdelhalim H, Berber A, Lodi M, Jain R, Nair A, Pappu A, Patel K, Venkat V, Venkatesan C, Wable R, Dinatale M, Fu A, Iyer V, Kalove I, Kleyman M, Koutsoutis J, Menna D, Paliwal M, Patel N, Patel T, Rafique Z, Samadi R, Varadhan R, Bolla S, Vadapalli S, Ahmed Z. Artificial Intelligence, Healthcare, Clinical Genomics, and Pharmacogenomics Approaches in Precision Medicine. Front Genet 2022;13:929736. [PMID: 35873469 DOI: 10.3389/fgene.2022.929736] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
7 Berber A, Abdelhalim H, Zeeshan S, Vadapalli S, von Oehsen B, Yanamala N, Sengupta P, Ahmed Z. RNA-seq-driven expression analysis to investigate cardiovascular disease genes with associated phenotypes among atrial fibrillation patients. Clin Transl Med 2022;12:e974. [PMID: 35875838 DOI: 10.1002/ctm2.974] [Reference Citation Analysis]