Author Correction: Single-cell multi-ome regression models identify functional and disease-associated enhancers and enable chromatin potential analysis
Sneha Mitra, Rohan Malik, Wilfred Wong, Afsana Rahman, Alexander J. Hartemink, Yuri Pritykin, Kushal K. Dey, Christina S. Leslie

Abstract
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TopicsCancer Genomics and Diagnostics · Bioinformatics and Genomic Networks · Gene expression and cancer classification
Correction to: Nature Genetics 10.1038/s41588-024-01689-8, published online 21 March 2024
In the version of the article initially published, in the “Gene regression model” section in the Methods, the equation for the loss function was incorrect and should be:
\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\frac{1}{N}{\sum }_{i=1}^{N}\left({e}^{{X}_{i}{\boldsymbol{w}}+\epsilon }-{Y}_{i}\left({X}_{i}{\boldsymbol{w}}+\epsilon \right)\right)+\alpha {\left|\left|{\boldsymbol{w}}\right|\right|}_{2}^{2}$$\end{document}In the same section, the default proportion of held-out data in model evaluation has been corrected to 0.25 (one-quarter) rather than 0.2 (one-fifth) in the sentence “We left out one-fourth of the data for testing. The regularization parameter was selected using fourfold cross-validation on the remaining three-quarters of the cells.” These corrections have been made to the HTML and PDF versions of the article and do not change the results reported in the paper.
