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VirTues architecture Multiplexed imaging data pose modality-specific challenges to the development of scalable machine learning algorithms. The images represent high-dimensional samples, characterized by a large number of measured channels and high spatial resolutions. Further, the total number as well as the combination of channels varies between datasets as studies use different marker panels. These characteristics
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Mouse models All animal experiments at the University of California Los Angeles (UCLA) were conducted in accordance with the US National Institutes of Health (NIH) Guide for the Care and Use of Laboratory Animals and were approved by the Chancellor’s Animal Research Committee at UCLA. The UCLA ARC protocol numbers for the experiments were 2009-043, 2020-002, 2017-039
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Plasmids and inserts Sequences and accompanying information are given in Supplementary Tables 2–4. In brief, we selected Codebook TFs (and their DBDs) from information published in a previous study1 and posted at https://humantfs.ccbr.utoronto.ca. Inserts named with a ‘-FL’ suffix correspond to the full-length ORF of a representative isoform of the protein. Those with a ‘-DBD’
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Patient biospecimens and data All patient material was obtained through Memorial Sloan Kettering (MSK) Institutional Review Board protocols 06-107, 12-245, 14-244 and 22-404. No statistical method was used to predetermine sample sizes. scRNA-seq datasets from matched normal colon, primary tumour and metastasis samples were obtained from a previous study10. Patient-derived organoids from two primary tumours
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Observations and data reduction In this work we present observations acquired on 14 April 2025 between 21:38 ut and 21:41 ut using the world’s largest telescope for optical and infrared observations of the Sun, DKIST21. During the data acquisition, the atmospheric conditions were variable, with Fried parameter values during the best periods measured around \(Check back often
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