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The promise of machine learning applications in solid organ transplantation.
Gotlieb N, Azhie A, Sharma D, Spann A, Suo NJ, Tran J, Orchanian-Cheff A, Wang B, Goldenberg A, Chassé M, Cardinal H, Cohen JP, Lodi A, Dieude M, Bhat M. Gotlieb N, et al. Among authors: goldenberg a. NPJ Digit Med. 2022 Jul 11;5(1):89. doi: 10.1038/s41746-022-00637-2. NPJ Digit Med. 2022. PMID: 35817953 Free PMC article. Review.
Development and validation of an ensemble machine learning framework for detection of all-cause advanced hepatic fibrosis: a retrospective cohort study.
Sarvestany SS, Kwong JC, Azhie A, Dong V, Cerocchi O, Ali AF, Karnam RS, Kuriry H, Shengir M, Candido E, Duchen R, Sebastiani G, Patel K, Goldenberg A, Bhat M. Sarvestany SS, et al. Among authors: goldenberg a. Lancet Digit Health. 2022 Mar;4(3):e188-e199. doi: 10.1016/S2589-7500(21)00270-3. Lancet Digit Health. 2022. PMID: 35216753 Free article.
Identifying cancer specific functionally relevant miRNAs from gene expression and miRNA-to-gene networks using regularized regression.
Mezlini AM, Wang B, Deshwar A, Morris Q, Goldenberg A. Mezlini AM, et al. Among authors: goldenberg a. PLoS One. 2013 Oct 2;8(10):e73168. doi: 10.1371/journal.pone.0073168. eCollection 2013. PLoS One. 2013. PMID: 24098326 Free PMC article.
Our method is based on a linear regression with an elastic net regularization. Our simulations show that, with our method, the active miRNAs can be detected with high accuracy and our approach is robust to high levels of noise and missing information. ...The code is availa …
Our method is based on a linear regression with an elastic net regularization. Our simulations show that, with our method, the active …
656 results