WhoGEM: An Admixture-Based Prediction Machine Accurately Predicts Quantitative Functional Traits in Plants

Genome Biology
doi 10.1186/s13059-019-1697-0
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Springer Science and Business Media LLC

Related search

Functional Traits of Fish Species: Adjusting Resolution to Accurately Express Resource Partitioning

Frontiers in Marine Science
Planetary ChangeOceanographyEnvironmental ScienceOcean EngineeringGlobalAquatic ScienceWater ScienceTechnology
2019English

Functional Traits in Agroecology: Advancing Description and Prediction in Agroecosystems

Journal of Applied Ecology
Ecology
2017English

A Sequence-Based, Deep Learning Model Accurately Predicts RNA Splicing Branchpoints

RNA
Molecular Biology
2018English

Origin and Functional Prediction of Pollen Allergens in Plants

Plant Physiology
Plant ScienceGeneticsPhysiology
2016English

Functional Regression Models for Epistasis Analysis of Multiple Quantitative Traits

PLoS Genetics
EvolutionEcologyGeneticsMolecular BiologyCancer ResearchSystematicsBehavior
2016English

Machine Learning Predicts the Yeast Metabolome From the Quantitative Proteome of Kinase Knockouts

Cell Systems
Forensic MedicinePathologyCell BiologyHistology
2018English

A New Machine Learning Approach for Protein Phosphorylation Site Prediction in Plants

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2009English

A Machine Learning Pipeline for Quantitative Phenotype Prediction From Genotype Data

BMC Bioinformatics
BiochemistryApplied MathematicsComputer Science ApplicationsStructural BiologyMolecular Biology
2010English

The Basophil Activation Tests Accurately Predicts Clinical Food Allergy

Journal of Allergy and Clinical Immunology
AllergyImmunology
2017English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy