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Identifying Emerging Phenomenon in Plant Long Temporal Phenotyping Experiments
[article]
2018
bioRxiv
pre-print
AbstractThe rapid improvement of phenotyping capability, accuracy, and throughput have greatly increased the volume and diversity of phenomics data. A remaining challenge is an efficient way to identify phenotypic patterns to improve our understanding of the quantitative variation of complex phenotypes, and to attribute gene functions. To address this challenge, we developed a new algorithm to identify emerging phenomena from large-scale temporal plant phenotyping experiments. An emerging
doi:10.1101/454686
fatcat:lgccu5fyw5f5fccjbuxozcfmna