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A Crowdsourcing Approach to Developing and Assessing Prediction Algorithms for AML Prognosis.

, , , , , , , , , , , , , , , , , , , , , и . PLoS Comput. Biol., (2016)

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Fritz Kahn

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Understanding the limits of animal models as predictors of human biology: lessons learned from the sbv IMPROVER Species Translation Challenge., , , , , , , , , и 4 other автор(ы). Bioinform., 31 (4): 471-483 (2015)A Crowdsourcing Approach to Developing and Assessing Prediction Algorithms for AML Prognosis., , , , , , , , , и 12 other автор(ы). PLoS Comput. Biol., (2016)Dark-matter matters: Discriminating subtle blood cancers using the darkest DNA., , , , , , , , , и 3 other автор(ы). PLoS Comput. Biol., (2019)Epidemiological topology data analysis links severe COVID-19 to RAAS and hyperlipidemia associated metabolic syndrome conditions., , , , и . AMIA, AMIA, (2022)MINE: Module Identification in NEtworks., и . BMC Bioinform., (2011)Inter-species prediction of protein phosphorylation in the sbv IMPROVER species translation challenge., , , , , , , , , и . Bioinform., 31 (4): 453-461 (2015)Networks in Caenorhabditis elegans., и . Current opinion in genetics & development, 21 (6): 787--798 (декабря 2011)Erratum to: MINE: Module Identification in Networks., и . BMC Bioinform., (2016)Lesion Shedding Model: unraveling site-specific contributions to ctDNA., , , и . Briefings Bioinform., (марта 2023)Inter-species pathway perturbation prediction via data-driven detection of functional homology., , , , , , , и . Bioinform., 31 (4): 501-508 (2015)