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410 results
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Finding more differentially altered genes by combining alteration types
You can now more specifically select types of mutations and to combine mutations, fusions & copy number alterations in one group comparison ...
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A FAIR case study: Machine actionability in liquid antibody formulation datasets
Explore how FAIR principles enabled machine-actionable liquid antibody data for AI and predictive analysis. Read the case study. ...
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Detecting digital markers for Alzheimer’s disease with RADAR-base
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FHIR and OMOP: Reflections on the FHIR Connectathon
HL7 FHIR and OHDSI announced a collaboration. This describes background, next steps and reflects on Vulcan track in latest FHIR connectathon ...
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Developing patient-centric digital interventions with RADAR-base
RADAR-base enables the design of new patient-centric digital interventions using an open-source development model. ...
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CINECA project and implementation of the FAIR principles
The CINECA partners recently organised a series of webinars titled “How FAIR are you?” which concluded with a 2-day hackathon ...
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Semantic Modelling Expert Eelke van der Horst
Eelke's studies and work experience gave him a sound knowledge of data mining, machine learning and semantic modelling. ...
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New recipe for the FAIRplus Cookbook: An inventory of tools to convert your data to RDF
Our data engineers created a selection of ETL tools for every scenario, for those that are getting started with FAIRification of their data ...
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The future looks FAIR: Our role in FAIRplus
The Hyve helps FAIRplus improve data accessibility and reuse for IMI projects with tools, guidelines, and the FAIR Cookbook. ...
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Studyathon: a novel way to organize multidisciplinary collaboration in biomedical open science
Short primer on studyathon, a new way to organize multidisciplinary open science collaboration around biomedical research questions in OHDSI ...
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