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An AI-Ready Multiplex Staining Dataset for Reproducible and Accurate Characterization of Tumor Immune Microenvironment.

, , , , , , and . MICCAI (6), volume 14225 of Lecture Notes in Computer Science, page 704-713. Springer, (2023)

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An AI-Ready Multiplex Staining Dataset for Reproducible and Accurate Characterization of Tumor Immune Microenvironment., , , , , , and . MICCAI (6), volume 14225 of Lecture Notes in Computer Science, page 704-713. Springer, (2023)NuKit: A deep learning platform for fast nucleus segmentation of histopathological images., , and . J. Bioinform. Comput. Biol., 21 (1): 2350002:1-2350002:14 (February 2023)TIMEx: tumor-immune microenvironment deconvolution web-portal for bulk transcriptomics using pan-cancer scRNA-seq signatures., , , , , , , , , and . Bioinform., 37 (20): 3681-3683 (2021)Preserving biological heterogeneity with a permuted surrogate variable analysis for genomics batch correction., , , , , , , and . Bioinform., 30 (19): 2757-2763 (2014)CancerInSilico: An R/Bioconductor package for combining mathematical and statistical modeling to simulate time course bulk and single cell gene expression data in cancer., , , , , , , , , and 5 other author(s). PLoS Comput. Biol., (2019)Deep Learning of Histopathology Images at the Single Cell Level., , , , , , , and . Frontiers Artif. Intell., (2021)