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Author Correction: Supervised learning of high-confidence phenotypic subpopulations from single-cell data (Nature Machine Intelligence, (2023), 5, 5, (528-541), 10.1038/s42256-023-00656-y)

Research output: Contribution to journalComment/debatepeer-review

Abstract

In the version of this article initially published, the link to the preprint at bioRxiv was truncated and has been updated to. The display equation in the third paragraph of Methods, now reading “ (Formula presented.) (Formula presented.) ” has been updated to include norm markers around “w” and “Θ” at the end of the expression. The changes have been made in the HTML and PDF versions of the article.

Original languageEnglish (US)
Pages (from-to)676
Number of pages1
JournalNature Machine Intelligence
Volume5
Issue number6
DOIs
StatePublished - Jun 2023

Funding

FundersFunder number
National Institute of Health National Heart, Lung, and Blood Institute1R21HL145426
National Institute of General Medical SciencesR35GM124704
Congressionally Directed Medical Research ProgramsW81XWH2110539
Breast Cancer Research Foundation
Division of Cancer Epidemiology and Genetics, National Cancer InstituteU01CA217842, R01CA250917, U01CA253472, 1R01CA244576

    ASJC Scopus subject areas

    • Software
    • Human-Computer Interaction
    • Computer Vision and Pattern Recognition
    • Computer Networks and Communications
    • Artificial Intelligence

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