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pro vyhledávání: '"Goedhart, Jeroen"'
Cancer prognosis is often based on a set of omics covariates and a set of established clinical covariates such as age and tumor stage. Combining these two sets poses challenges. First, dimension difference: clinical covariates should be favored becau
Externí odkaz:
http://arxiv.org/abs/2411.02396
Medical prediction applications often need to deal with small sample sizes compared to the number of covariates. Such data pose problems for prediction and variable selection, especially when the covariate-response relationship is complicated. To add
Externí odkaz:
http://arxiv.org/abs/2311.09997
Autor:
Tjalma, Age J., Galstyan, Vahe, Goedhart, Jeroen, Slim, Lotte, Becker, Nils B., Wolde, Pieter Rein ten
Living cells can leverage correlations in environmental fluctuations to predict the future environment and mount a response ahead of time. To this end, cells need to encode the past signal into the output of the intracellular network from which the f
Externí odkaz:
http://arxiv.org/abs/2301.03964
In high-dimensional prediction settings, it remains challenging to reliably estimate the test performance. To address this challenge, a novel performance estimation framework is presented. This framework, called Learn2Evaluate, is based on learning c
Externí odkaz:
http://arxiv.org/abs/2206.03825
Publikováno v:
In Computational Statistics and Data Analysis April 2023 180
