Self-updating causal models to accelerate discovery in NF

syn24316458

Created By Jineta Banerjee jineta.banerjee

event: Hack for NF 2020
summary: A research platform that utilizes text mining and natural language processing to build, update and test causal models of NF to help researchers discover and interpret relevant new findings
onSynapse: syn24316458
initiative: 2020 NF Hackathon
studyLeads: 3335382 3344147
studyStatus: Completed
diseaseFocus: Neurofibromatosis type 1
fundingAgency: CTF
tab1wikipointer: syn24316458/wiki/608245
acknowledgementStatements: If you use data/concepts from this study in a publication or talk, please acknowledge the authors for their work. In addition, please acknowledge the Children's Tumor Foundation and NF Data Portal using the following statement: "The results published here are in whole or in part based on data/concepts made available through the NF Open Science Initiative and CTF Hack for NF 2020."
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