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Design and selection of machine learning methods using radiomics and dosiomics for normal tissue complication probability modeling of xerostomia

Document informed neural autoregressive topic models

Multi-Omics Factor Analysis—a framework for unsupervised integration of multi-omics data sets

texttovec: Deep contextualized neural autoregressive models of language with distributed compositional prior

Texttovec: Deep contextualized neural autoregressive topic models of language with distributed compositional prior

A divergent population of autoantigen-responsive CD4+ T cells in infants prior to β cell autoimmunity

cgcorrect: a method to correct for confounding cell–cell variation due to cell growth in single-cell transcriptomics

f-scLVM: scalable and versatile factor analysis for single-cell RNA-seq

Non-targeted metabolomic approach reveals two distinct types of metabolic responses to telomerase dysfunction in S. cerevisiae

Parotid gland mean dose as a xerostomia predictor in low-dose domains