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AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective
The exponential growth of cancer multi‐omics data brings opportunities and challenges for precision oncology. This review systematically examines AI's role in addressing these challenges, covering generative models, integration architectures, Explainable AI for clinical trust, clinical applications, and key directions for clinical translation.
Shilong Liu, Shunxiang Li, Kun Qian
wiley +1 more source
Abstract Premise Changing climates are leading to more frequent and severe heat waves, potentially threatening plant populations. Both acclimation to stress and selection for heat‐escape or heat‐resistance phenotypes occur during heat waves. However, plastic responses and selection do not necessarily interact cohesively—even producing trait responses ...
Lana F. Gaspard +4 more
wiley +1 more source
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Genotype × Environment Interaction for Iron Concentration of Rice in Central Java of Indonesia
Rice Science, 2011Suwarto
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Genotype × environment interaction QTL mapping in plants: lessons from Arabidopsis
Trends in Plant Science, 2014Mohamed El-Soda +2 more
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Genetic improvement in the presence of genotype by environment interaction
Animal Science Journal, 2002Kenji Togashi
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