LEOPARD : missing view completion for multi-timepoint omics data via representation disentanglement and temporal knowledge transfer

Han, Siyu (avtor), Adamski, Jerzy (avtor), Wang-Sattler, Rui (avtor)

Longitudinal multi-view omics data offer unique insights into the temporal dynamics of individual-level physiology, which provides opportunities to advance personalized healthcare. However, the common occurrence of incomplete views makes extrapolation tasks difficult, and there is a lack of tailored methods for this critical issue. Here, we introduce LEOPARD, an innovative approach specifically designed to complete missing views in multi-timepoint omics data. By disentangling longitudinal omics data into content and temporal representations, LEOPARD transfers the temporal knowledge to the omics-specific content, thereby completing missing views. The effectiveness of LEOPARD is validated on four real-world omics datasets constructed with data from the MGH COVID study and the KORA cohort, spanning periods from 3 days to 14 years. Compared to conventional imputation methods, such as missForest, PMM, GLMM, and cGAN, LEOPARD yields the most robust results across the benchmark datasets. LEOPARD-imputed data also achieve the highest agreement with observed data in our analyses for age-associated metabolites detection, estimated glomerular filtration rate-associated proteins identification, and chronic kidney disease prediction. Our work takes the first step toward a generalized treatment of missing views in longitudinal omics data, enabling comprehensive exploration of temporal dynamics and providing valuable insights into personalized healthcare.

• Jezik: Angleški jezik
• Ključne besede: multi-timepoint omics data, representation, temporal knowledge transfer, machine learning, molecular medicine
• Vrsta gradiva: Članek v reviji
• Tipologija: 1.01 - Izvirni znanstveni članek
• Organizacija: MF - Medicinska fakulteta
• Status publikacije: Objavljeno
• Različica publikacije: Objavljena publikacija
• Leto izida: 2025
• Št. strani: 20 str.
• Številčenje: Vol. 16, art. 3278
• PID: 20.500.12556/RUL-181916
• UDK: 577:61
• ISSN pri članku: 2041-1723
• DOI: 10.1038/s41467-025-58314-3
• COBISS.SI-ID: 264903171
• Datum objave v RUL: 20.04.2026

Gradivo je del revije

• Naslov: Nature communications
• Skrajšan naslov: Nat. commun.
• Založnik: Springer Nature
• ISSN: 2041-1723
• COBISS.SI-ID: 2315876

Licence

• Licenca: CC BY 4.0, Creative Commons Priznanje avtorstva 4.0 Mednarodna
• Povezava: http://creativecommons.org/licenses/by/4.0/deed.sl
• Opis: To je standardna licenca Creative Commons, ki daje uporabnikom največ možnosti za nadaljnjo uporabo dela, pri čemer morajo navesti avtorja.

Sekundarni jezik

• Jezik: Slovenski jezik
• Ključne besede: veččasovni omični podatki, reprezentacija, časovni prenos znanja