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ROSIE: RObust Sparse Ensemble for outlIEr detection and gene selection in cancer omics data

, , , and . provisionally accepted due to minor revisions, (2021)

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Comparison of near infrared and Raman hyperspectral unmixing performances for chemical identification of pharmaceutical tablets., , , , , and . WHISPERS, page 1-4. IEEE, (2011)Ensemble outlier detection and gene selection in triple-negative breast cancer data., , , , , and . BMC Bioinformatics, 19 (1): 168:1-168:15 (2018)Spectral unmixing via minimum volume simplices: Application to near infrared spectra of counterfeit tablets., , , and . WHISPERS, page 1-4. IEEE, (2009)ROSIE: RObust Sparse Ensemble for outlIEr detection and gene selection in cancer omics data, , , and . provisionally accepted due to minor revisions, (2021)Variable Selection and Outlier Detection in Regularized Survival Models: Application to Melanoma Gene Expression Data., , , and . LOD, volume 11331 of Lecture Notes in Computer Science, page 431-440. Springer, (2018)ROSIE : RObust Sparse ensemble for outlIEr detection and gene selection in cancer omics data, , , and . Statistical methods in medical research, 31 (5): 947-958 (2022)Identification of influential observations in high-dimensional cancer survival data through the rank product test., , , and . BioData Min., 11 (1): 1:1-1:14 (2018)Twiner: correlation-based regularization for identifying common cancer gene signatures., , and . BMC Bioinformatics, 20 (1): 356:1-356:15 (2019)