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Loss-Function Learning for Digital Tissue Deconvolution., , , , , и . RECOMB, том 10812 из Lecture Notes in Computer Science, стр. 75-89. Springer, (2018)DTD: An R Package for Digital Tissue Deconvolution., , , , , , , , и . J. Comput. Biol., 27 (3): 386-389 (2020)Molecular signatures that can be transferred across different omics platforms., , , , , , , , , и 2 other автор(ы). Bioinform., 33 (17): 2790 (2017)BITES: Balanced Individual Treatment Effect for Survival data., , , , , , , , , и . CoRR, (2022)Loss-Function Learning for Digital Tissue Deconvolution., , , , , , , и . J. Comput. Biol., 27 (3): 342-355 (2020)Anomaly detection in mixed high-dimensional molecular data., , , , , , , , , и 1 other автор(ы). Bioinform., (августа 2023)Causal Modeling of Cancer-Stromal Communication Identifies PAPPA as a Novel Stroma-Secreted Factor Activating NFκB Signaling in Hepatocellular Carcinoma., , , , , , , , , и 3 other автор(ы). PLoS Comput. Biol., (2015)Systematic screen for human disease genes in yeast, , , , , , , , , и 1 other автор(ы). Nature Genetics, 31 (4): 400--404 (22.07.2002)ReseqChip: Automated integration of multiple local context probe data from the MitoChip array in mitochondrial DNA sequence assembly., , , , , и . BMC Bioinform., (2009)Reference point insensitive molecular data analysis., , , , , , , , , и 1 other автор(ы). Bioinform., 33 (2): 219-226 (2017)