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Journal / Biochemistry / Un approccio basato su Knowledge Graph per…
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Biochemistry

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JoVE Journal Biochemistry
Un approccio basato su Knowledge Graph per chiarire il ruolo delle vie organellari nella malattia attraverso referti biomedici
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Practical Aspects of Sample Preparation and Setup of 1H R1ρ Relaxation Dispersion Experiments of RNA
Journal (Biochemistry)
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Un approccio basato su Knowledge Graph per chiarire il ruolo delle vie organellari nella malattia attraverso referti biomedici

Article DOI: 10.3791/65084-v • 07:35 min • October 13th, 2023
October 13th, 2023 •
1,2,3, 1,3,4, 1, 1, 1, 1, 1, 1, 1, 1, 1,2,3, 3,4, 1,2,3,4,5
1Department of Physiology, UCLA School of Medicine, 2Scalable Analytics Institute (ScAi) at Department of Computer Science, UCLA School of Engineering, 3NIH BRIDGE2AI Center at UCLA & NHLBI Integrated Cardiovascular Data Science Training Program, UCLA, 4Medical Informatics, University of California at Los Angeles (UCLA), 5Department of Medicine (Cardiology), UCLA School of Medicine

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Vengono presentati un protocollo computazionale, CaseOLAP LIFT, e un caso d'uso per studiare le proteine mitocondriali e le loro associazioni con le malattie cardiovascolari come descritto nei rapporti biomedici. Questo protocollo può essere facilmente adattato per studiare i componenti cellulari e le malattie selezionate dall'utente.

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Biochimica Numero 200
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