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iGenPredict: innovative genomic prediction tools 01Natural Resources Institute Finland2020Trafficability Prediction and Route Planning for Forest MachinesNatural Resources Institute Finland2020Genomics in BLUP: Continuous genomic prediction by single-step evaluation 01Natural Resources Institute Finland2020Prediction of the regional variation of forest productivity using process-based models.University of Helsinki2004The Finnish Type 1 Diabetes Prediction and Prevention (DIPP) Nutrition study: allergy armUniversity of Helsinki1996Facilitating reliable CAZyme function prediction of fungal enzymes from expanded and poorly characterized familiesUniversity of Helsinki2021Spatial PREdiction of Benthic HABitats in the Baltic Sea: incorporating anthropogenic pressures and economic evaluationUniversity of Helsinki2009Combining growth models and multi-date satellite imagery inventory for improved carbon prediction of tropical forestUniversity of Helsinki2015Ml-Mining: Machine Learning Surrogate Modeling for Environmental Risk Assessment and Water Quality Prediction at Mining SitesGeological Survey of Finland2023Carbon balance of forested peatlands - predictions and monitoring in changing conditionsUniversity of Helsinki2006