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rigr: Regression, Inference, and General Data Analysis Tools in R.

Y. Chen, B. Williamson, T. Okonek, C. Wolock, A. Spieker, T. Wai, J. Hughes, S. Emerson, и A. Willis. J. Open Source Softw., 7 (80): 4847 (декабря 2022)

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Daniel Williamson

Elke Williamson

Rolf-Walter Briant

Benoît Briand

Adam Williamson

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Data-driven automated classification algorithms for acute health conditions: applying PheNorm to COVID-19 disease.J. Smith, B. Williamson, D. Cronkite, D. Park, J. Whitaker, M. McLemore, J. Osmanski, R. Winter, A. Ramaprasan, A. Kelley и 8 other автор(ы). J. Am. Medical Informatics Assoc., 31 (3): 574-582 (февраля 2024)Super LeArner Prediction of NAb Panels (SLAPNAP): a containerized tool for predicting combination monoclonal broadly neutralizing antibody sensitivity.B. Williamson, C. Magaret, P. Gilbert, S. Nizam, C. Simmons, и D. Benkeser. Bioinform., 37 (22): 4187-4192 (ноября 2021)Practical considerations for variable screening in the Super Learner.B. Williamson, D. King, и Y. Huang. CoRR, (2023)Nonparametric variable importance using an augmented neural network with multi-task learning.J. Feng, B. Williamson, M. Carone, и N. Simon. ICML, том 80 из Proceedings of Machine Learning Research, стр. 1495-1504. PMLR, (2018)Improving random forest predictions in small datasets from two-phase sampling designs.S. Han, B. Williamson, и Y. Fong. BMC Medical Informatics Decis. Mak., 21 (1): 322 (2021)Prediction of VRC01 neutralization sensitivity by HIV-1 gp160 sequence features.C. Magaret, D. Benkeser, B. Williamson, B. Borate, L. Carpp, I. Georgiev, I. Setliff, A. Dingens, N. Simon, M. Carone и 10 other автор(ы). PLoS Comput. Biol., (2019)Efficient nonparametric statistical inference on population feature importance using Shapley values.B. Williamson, и J. Feng. ICML, том 119 из Proceedings of Machine Learning Research, стр. 10282-10291. PMLR, (2020)rigr: Regression, Inference, and General Data Analysis Tools in R.Y. Chen, B. Williamson, T. Okonek, C. Wolock, A. Spieker, T. Wai, J. Hughes, S. Emerson, и A. Willis. J. Open Source Softw., 7 (80): 4847 (декабря 2022)

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